Overview

Brought to you by YData

Dataset statistics

Number of variables114
Number of observations17391
Missing cells1442422
Missing cells (%)72.8%
Duplicate rows23
Duplicate rows (%)0.1%
Total size in memory101.3 MiB
Average record size in memory6.0 KiB

Variable types

Text81
Categorical29
DateTime2
Numeric2

Alerts

Violation Description - 23 has constant value "*19 Water & Plumbing in good repair- per code" Constant
Violation Points - 23 has constant value "3.0" Constant
Violation Detail - 23 has constant value "228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; and" Constant
Violation Memo - 23 has constant value "fix handsink in women's bathroom" Constant
Violation Description - 24 has constant value "*36 Cloths in-use for wiping between uses stored" Constant
Violation Points - 24 has constant value "1.0" Constant
Violation Detail - 24 has constant value "228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; and" Constant
Violation Memo - 24 has constant value "Store wet wiping cloth in sanitizer solution" Constant
Violation Description - 25 has constant value "*42 Dirty nonfood contact surfaces" Constant
Violation Points - 25 has constant value "1.0" Constant
Violation Detail - 25 has constant value "228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris." Constant
Violation Memo - 25 has constant value "Dirty dust on fans and vents above food prep areas and counters. dirty food containers, outside RIC doors, stoves, ovens, walls, vents, vent filters. Ice on freezer floor." Constant
Dataset has 23 (0.1%) duplicate rowsDuplicates
Inspection Type is highly overall correlated with Violation Points - 19 and 3 other fieldsHigh correlation
Inspection Year is highly overall correlated with Violation Points - 22High correlation
Street Direction is highly overall correlated with Violation Points - 18 and 1 other fieldsHigh correlation
Street Type is highly overall correlated with Violation Points - 22High correlation
Violation Points - 1 is highly overall correlated with Violation Points - 20 and 2 other fieldsHigh correlation
Violation Points - 10 is highly overall correlated with Violation Points - 21 and 1 other fieldsHigh correlation
Violation Points - 14 is highly overall correlated with Violation Points - 20High correlation
Violation Points - 15 is highly overall correlated with Violation Points - 20 and 2 other fieldsHigh correlation
Violation Points - 16 is highly overall correlated with Violation Points - 21High correlation
Violation Points - 17 is highly overall correlated with Violation Points - 19High correlation
Violation Points - 18 is highly overall correlated with Street Direction and 1 other fieldsHigh correlation
Violation Points - 19 is highly overall correlated with Inspection Type and 6 other fieldsHigh correlation
Violation Points - 2 is highly overall correlated with Violation Points - 20 and 2 other fieldsHigh correlation
Violation Points - 20 is highly overall correlated with Inspection Type and 7 other fieldsHigh correlation
Violation Points - 21 is highly overall correlated with Inspection Type and 13 other fieldsHigh correlation
Violation Points - 22 is highly overall correlated with Inspection Type and 10 other fieldsHigh correlation
Violation Points - 3 is highly overall correlated with Violation Points - 21High correlation
Violation Points - 4 is highly overall correlated with Violation Points - 19 and 2 other fieldsHigh correlation
Violation Points - 6 is highly overall correlated with Violation Points - 21High correlation
Violation Points - 7 is highly overall correlated with Violation Points - 22High correlation
Violation Points - 8 is highly overall correlated with Violation Points - 21 and 1 other fieldsHigh correlation
Inspection Type is highly imbalanced (95.7%) Imbalance
Street Direction has 11508 (66.2%) missing values Missing
Street Type has 402 (2.3%) missing values Missing
Street Unit has 11445 (65.8%) missing values Missing
Violation Description - 1 has 1691 (9.7%) missing values Missing
Violation Points - 1 has 1691 (9.7%) missing values Missing
Violation Detail - 1 has 1831 (10.5%) missing values Missing
Violation Memo - 1 has 3779 (21.7%) missing values Missing
Violation Description - 2 has 3458 (19.9%) missing values Missing
Violation Points - 2 has 3458 (19.9%) missing values Missing
Violation Detail - 2 has 3632 (20.9%) missing values Missing
Violation Memo - 2 has 5528 (31.8%) missing values Missing
Violation Description - 3 has 5549 (31.9%) missing values Missing
Violation Points - 3 has 5549 (31.9%) missing values Missing
Violation Detail - 3 has 5724 (32.9%) missing values Missing
Violation Memo - 3 has 7358 (42.3%) missing values Missing
Violation Description - 4 has 7589 (43.6%) missing values Missing
Violation Points - 4 has 7589 (43.6%) missing values Missing
Violation Detail - 4 has 7762 (44.6%) missing values Missing
Violation Memo - 4 has 9056 (52.1%) missing values Missing
Violation Description - 5 has 9466 (54.4%) missing values Missing
Violation Points - 5 has 9466 (54.4%) missing values Missing
Violation Detail - 5 has 9624 (55.3%) missing values Missing
Violation Memo - 5 has 10645 (61.2%) missing values Missing
Violation Description - 6 has 11031 (63.4%) missing values Missing
Violation Points - 6 has 11031 (63.4%) missing values Missing
Violation Detail - 6 has 11155 (64.1%) missing values Missing
Violation Memo - 6 has 11932 (68.6%) missing values Missing
Violation Description - 7 has 12380 (71.2%) missing values Missing
Violation Points - 7 has 12380 (71.2%) missing values Missing
Violation Detail - 7 has 12504 (71.9%) missing values Missing
Violation Memo - 7 has 13074 (75.2%) missing values Missing
Violation Description - 8 has 13499 (77.6%) missing values Missing
Violation Points - 8 has 13499 (77.6%) missing values Missing
Violation Detail - 8 has 13599 (78.2%) missing values Missing
Violation Memo - 8 has 14019 (80.6%) missing values Missing
Violation Description - 9 has 14452 (83.1%) missing values Missing
Violation Points - 9 has 14452 (83.1%) missing values Missing
Violation Detail - 9 has 14524 (83.5%) missing values Missing
Violation Memo - 9 has 14833 (85.3%) missing values Missing
Violation Description - 10 has 15231 (87.6%) missing values Missing
Violation Points - 10 has 15231 (87.6%) missing values Missing
Violation Detail - 10 has 15287 (87.9%) missing values Missing
Violation Memo - 10 has 15503 (89.1%) missing values Missing
Violation Description - 11 has 15923 (91.6%) missing values Missing
Violation Points - 11 has 15923 (91.6%) missing values Missing
Violation Detail - 11 has 15968 (91.8%) missing values Missing
Violation Memo - 11 has 16100 (92.6%) missing values Missing
Violation Description - 12 has 16492 (94.8%) missing values Missing
Violation Points - 12 has 16492 (94.8%) missing values Missing
Violation Detail - 12 has 16528 (95.0%) missing values Missing
Violation Memo - 12 has 16580 (95.3%) missing values Missing
Violation Description - 13 has 16869 (97.0%) missing values Missing
Violation Points - 13 has 16869 (97.0%) missing values Missing
Violation Detail - 13 has 16892 (97.1%) missing values Missing
Violation Memo - 13 has 16924 (97.3%) missing values Missing
Violation Description - 14 has 17049 (98.0%) missing values Missing
Violation Points - 14 has 17049 (98.0%) missing values Missing
Violation Detail - 14 has 17063 (98.1%) missing values Missing
Violation Memo - 14 has 17082 (98.2%) missing values Missing
Violation Description - 15 has 17167 (98.7%) missing values Missing
Violation Points - 15 has 17167 (98.7%) missing values Missing
Violation Detail - 15 has 17176 (98.8%) missing values Missing
Violation Memo - 15 has 17196 (98.9%) missing values Missing
Violation Description - 16 has 17258 (99.2%) missing values Missing
Violation Points - 16 has 17258 (99.2%) missing values Missing
Violation Detail - 16 has 17266 (99.3%) missing values Missing
Violation Memo - 16 has 17270 (99.3%) missing values Missing
Violation Description - 17 has 17318 (99.6%) missing values Missing
Violation Points - 17 has 17318 (99.6%) missing values Missing
Violation Detail - 17 has 17318 (99.6%) missing values Missing
Violation Memo - 17 has 17323 (99.6%) missing values Missing
Violation Description - 18 has 17348 (99.8%) missing values Missing
Violation Points - 18 has 17348 (99.8%) missing values Missing
Violation Detail - 18 has 17350 (99.8%) missing values Missing
Violation Memo - 18 has 17352 (99.8%) missing values Missing
Violation Description - 19 has 17367 (99.9%) missing values Missing
Violation Points - 19 has 17367 (99.9%) missing values Missing
Violation Detail - 19 has 17367 (99.9%) missing values Missing
Violation Memo - 19 has 17370 (99.9%) missing values Missing
Violation Description - 20 has 17381 (99.9%) missing values Missing
Violation Points - 20 has 17381 (99.9%) missing values Missing
Violation Detail - 20 has 17382 (99.9%) missing values Missing
Violation Memo - 20 has 17381 (99.9%) missing values Missing
Violation Description - 21 has 17385 (> 99.9%) missing values Missing
Violation Points - 21 has 17385 (> 99.9%) missing values Missing
Violation Detail - 21 has 17387 (> 99.9%) missing values Missing
Violation Memo - 21 has 17385 (> 99.9%) missing values Missing
Violation Description - 22 has 17388 (> 99.9%) missing values Missing
Violation Points - 22 has 17388 (> 99.9%) missing values Missing
Violation Detail - 22 has 17388 (> 99.9%) missing values Missing
Violation Memo - 22 has 17388 (> 99.9%) missing values Missing
Violation Description - 23 has 17390 (> 99.9%) missing values Missing
Violation Points - 23 has 17390 (> 99.9%) missing values Missing
Violation Detail - 23 has 17390 (> 99.9%) missing values Missing
Violation Memo - 23 has 17390 (> 99.9%) missing values Missing
Violation Description - 24 has 17390 (> 99.9%) missing values Missing
Violation Points - 24 has 17390 (> 99.9%) missing values Missing
Violation Detail - 24 has 17390 (> 99.9%) missing values Missing
Violation Memo - 24 has 17390 (> 99.9%) missing values Missing
Violation Description - 25 has 17390 (> 99.9%) missing values Missing
Violation Points - 25 has 17390 (> 99.9%) missing values Missing
Violation Detail - 25 has 17390 (> 99.9%) missing values Missing
Violation Memo - 25 has 17390 (> 99.9%) missing values Missing

Reproduction

Analysis started2025-04-14 23:28:06.888304
Analysis finished2025-04-14 23:28:34.197430
Duration27.31 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Distinct6724
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
2025-04-14T23:28:34.630924image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length65
Median length52
Mean length19.59065
Min length3

Characters and Unicode

Total characters340701
Distinct characters69
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2048 ?
Unique (%)11.8%

Sample

1st rowFANNIN INNOVATION DESIGN
2nd rowWINE PRESS/DOG FISHHEAD
3rd rowBLUE'S PALACE II
4th rowJFE SUSHI K-511
5th rowMCDONALDS
ValueCountFrequency (%)
1654
 
3.0%
the 676
 
1.2%
bar 651
 
1.2%
restaurant 632
 
1.1%
kitchen 624
 
1.1%
school 610
 
1.1%
la 597
 
1.1%
cafe 553
 
1.0%
food 516
 
0.9%
dallas 504
 
0.9%
Other values (6028) 48422
87.3%
2025-04-14T23:28:35.227247image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38201
 
11.2%
E 30075
 
8.8%
A 29310
 
8.6%
R 20634
 
6.1%
O 20386
 
6.0%
S 18854
 
5.5%
I 18639
 
5.5%
T 18555
 
5.4%
L 17020
 
5.0%
N 16970
 
5.0%
Other values (59) 112057
32.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 340701
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
38201
 
11.2%
E 30075
 
8.8%
A 29310
 
8.6%
R 20634
 
6.1%
O 20386
 
6.0%
S 18854
 
5.5%
I 18639
 
5.5%
T 18555
 
5.4%
L 17020
 
5.0%
N 16970
 
5.0%
Other values (59) 112057
32.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 340701
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
38201
 
11.2%
E 30075
 
8.8%
A 29310
 
8.6%
R 20634
 
6.1%
O 20386
 
6.0%
S 18854
 
5.5%
I 18639
 
5.5%
T 18555
 
5.4%
L 17020
 
5.0%
N 16970
 
5.0%
Other values (59) 112057
32.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 340701
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
38201
 
11.2%
E 30075
 
8.8%
A 29310
 
8.6%
R 20634
 
6.1%
O 20386
 
6.0%
S 18854
 
5.5%
I 18639
 
5.5%
T 18555
 
5.4%
L 17020
 
5.0%
N 16970
 
5.0%
Other values (59) 112057
32.9%

Inspection Type
Categorical

High correlation  Imbalance 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.1 MiB
Routine
17253 
Follow-up
 
136
Complaint
 
2

Length

Max length9
Median length7
Mean length7.0158703
Min length7

Characters and Unicode

Total characters122013
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRoutine
2nd rowRoutine
3rd rowRoutine
4th rowRoutine
5th rowRoutine

Common Values

ValueCountFrequency (%)
Routine 17253
99.2%
Follow-up 136
 
0.8%
Complaint 2
 
< 0.1%

Length

2025-04-14T23:28:35.354867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:28:35.443930image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
routine 17253
99.2%
follow-up 136
 
0.8%
complaint 2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
o 17527
14.4%
u 17389
14.3%
t 17255
14.1%
n 17255
14.1%
i 17255
14.1%
R 17253
14.1%
e 17253
14.1%
l 274
 
0.2%
p 138
 
0.1%
w 136
 
0.1%
Other values (5) 278
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 122013
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 17527
14.4%
u 17389
14.3%
t 17255
14.1%
n 17255
14.1%
i 17255
14.1%
R 17253
14.1%
e 17253
14.1%
l 274
 
0.2%
p 138
 
0.1%
w 136
 
0.1%
Other values (5) 278
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 122013
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 17527
14.4%
u 17389
14.3%
t 17255
14.1%
n 17255
14.1%
i 17255
14.1%
R 17253
14.1%
e 17253
14.1%
l 274
 
0.2%
p 138
 
0.1%
w 136
 
0.1%
Other values (5) 278
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 122013
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 17527
14.4%
u 17389
14.3%
t 17255
14.1%
n 17255
14.1%
i 17255
14.1%
R 17253
14.1%
e 17253
14.1%
l 274
 
0.2%
p 138
 
0.1%
w 136
 
0.1%
Other values (5) 278
 
0.2%
Distinct637
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size136.0 KiB
Minimum2022-01-03 00:00:00
Maximum2023-12-29 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-04-14T23:28:35.537151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:28:35.679412image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Inspection Score
Real number (ℝ)

Distinct49
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.623138
Minimum-26
Maximum100
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)< 0.1%
Memory size136.0 KiB
2025-04-14T23:28:35.814823image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-26
5-th percentile80
Q188
median93
Q397
95-th percentile100
Maximum100
Range126
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.8211863
Coefficient of variation (CV)0.074448293
Kurtosis18.592412
Mean91.623138
Median Absolute Deviation (MAD)4
Skewness-1.9824223
Sum1593418
Variance46.528582
MonotonicityNot monotonic
2025-04-14T23:28:35.950739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
100 1690
 
9.7%
95 1266
 
7.3%
97 1181
 
6.8%
96 1144
 
6.6%
94 1101
 
6.3%
98 1024
 
5.9%
93 992
 
5.7%
92 945
 
5.4%
90 937
 
5.4%
91 809
 
4.7%
Other values (39) 6302
36.2%
ValueCountFrequency (%)
-26 1
< 0.1%
-15 1
< 0.1%
-13 1
< 0.1%
-5 2
< 0.1%
-3 1
< 0.1%
44 1
< 0.1%
58 1
< 0.1%
59 1
< 0.1%
60 2
< 0.1%
61 2
< 0.1%
ValueCountFrequency (%)
100 1690
9.7%
99 775
4.5%
98 1024
5.9%
97 1181
6.8%
96 1144
6.6%
95 1266
7.3%
94 1101
6.3%
93 992
5.7%
92 945
5.4%
91 809
4.7%

Street Number
Real number (ℝ)

Distinct3148
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5457.8463
Minimum0
Maximum39779
Zeros24
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size136.0 KiB
2025-04-14T23:28:36.078727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile443
Q12275
median4111
Q38188
95-th percentile13425
Maximum39779
Range39779
Interquartile range (IQR)5913

Descriptive statistics

Standard deviation4365.1958
Coefficient of variation (CV)0.7998019
Kurtosis4.879416
Mean5457.8463
Median Absolute Deviation (MAD)2408
Skewness1.5035402
Sum94917405
Variance19054935
MonotonicityNot monotonic
2025-04-14T23:28:36.213261image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2500 129
 
0.7%
400 83
 
0.5%
8008 75
 
0.4%
8687 72
 
0.4%
3750 69
 
0.4%
1515 63
 
0.4%
2201 58
 
0.3%
13350 57
 
0.3%
2222 56
 
0.3%
1201 54
 
0.3%
Other values (3138) 16675
95.9%
ValueCountFrequency (%)
0 24
0.1%
100 12
0.1%
102 12
0.1%
103 2
 
< 0.1%
104 2
 
< 0.1%
105 2
 
< 0.1%
106 9
 
0.1%
108 2
 
< 0.1%
110 9
 
0.1%
111 17
0.1%
ValueCountFrequency (%)
39779 8
< 0.1%
39739 4
< 0.1%
39718 4
< 0.1%
39640 6
< 0.1%
33333 1
 
< 0.1%
19304 3
 
< 0.1%
19177 3
 
< 0.1%
19160 4
< 0.1%
19129 7
< 0.1%
19111 4
< 0.1%
Distinct772
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.1 MiB
2025-04-14T23:28:36.530494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length25
Median length21
Mean length7.9434765
Min length2

Characters and Unicode

Total characters138145
Distinct characters42
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)0.5%

Sample

1st rowROSS
2nd rowVICTORY
3rd rowGRAND
4th rowNORTHWEST
5th rowFORT WORTH
ValueCountFrequency (%)
preston 522
 
2.4%
northwest 510
 
2.4%
forest 434
 
2.0%
greenville 391
 
1.8%
central 382
 
1.8%
buckner 381
 
1.8%
hill 333
 
1.6%
mockingbird 308
 
1.4%
walnut 294
 
1.4%
hines 277
 
1.3%
Other values (799) 17636
82.2%
2025-04-14T23:28:36.950365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 13546
 
9.8%
R 11732
 
8.5%
L 11266
 
8.2%
N 11117
 
8.0%
A 10940
 
7.9%
O 9531
 
6.9%
T 8224
 
6.0%
S 7929
 
5.7%
I 7696
 
5.6%
M 5324
 
3.9%
Other values (32) 40840
29.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 138145
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
E 13546
 
9.8%
R 11732
 
8.5%
L 11266
 
8.2%
N 11117
 
8.0%
A 10940
 
7.9%
O 9531
 
6.9%
T 8224
 
6.0%
S 7929
 
5.7%
I 7696
 
5.6%
M 5324
 
3.9%
Other values (32) 40840
29.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 138145
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
E 13546
 
9.8%
R 11732
 
8.5%
L 11266
 
8.2%
N 11117
 
8.0%
A 10940
 
7.9%
O 9531
 
6.9%
T 8224
 
6.0%
S 7929
 
5.7%
I 7696
 
5.6%
M 5324
 
3.9%
Other values (32) 40840
29.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 138145
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
E 13546
 
9.8%
R 11732
 
8.5%
L 11266
 
8.2%
N 11117
 
8.0%
A 10940
 
7.9%
O 9531
 
6.9%
T 8224
 
6.0%
S 7929
 
5.7%
I 7696
 
5.6%
M 5324
 
3.9%
Other values (32) 40840
29.6%

Street Direction
Categorical

High correlation  Missing 

Distinct4
Distinct (%)0.1%
Missing11508
Missing (%)66.2%
Memory size1.0 MiB
W
1870 
N
1653 
S
1554 
E
806 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters5883
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowE
2nd rowW
3rd rowS
4th rowW
5th rowW

Common Values

ValueCountFrequency (%)
W 1870
 
10.8%
N 1653
 
9.5%
S 1554
 
8.9%
E 806
 
4.6%
(Missing) 11508
66.2%

Length

2025-04-14T23:28:37.061599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:28:37.134262image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
w 1870
31.8%
n 1653
28.1%
s 1554
26.4%
e 806
13.7%

Most occurring characters

ValueCountFrequency (%)
W 1870
31.8%
N 1653
28.1%
S 1554
26.4%
E 806
13.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5883
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
W 1870
31.8%
N 1653
28.1%
S 1554
26.4%
E 806
13.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5883
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
W 1870
31.8%
N 1653
28.1%
S 1554
26.4%
E 806
13.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5883
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
W 1870
31.8%
N 1653
28.1%
S 1554
26.4%
E 806
13.7%

Street Type
Categorical

High correlation  Missing 

Distinct19
Distinct (%)0.1%
Missing402
Missing (%)2.3%
Memory size1014.1 KiB
RD
4338 
AVE
2985 
ST
2553 
LN
1805 
BLVD
1709 
Other values (14)
3599 

Length

Max length4
Median length2
Mean length2.600153
Min length2

Characters and Unicode

Total characters44174
Distinct characters21
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAVE
2nd rowAVE
3rd rowAVE
4th rowHWY
5th rowAVE

Common Values

ValueCountFrequency (%)
RD 4338
24.9%
AVE 2985
17.2%
ST 2553
14.7%
LN 1805
10.4%
BLVD 1709
 
9.8%
DR 1226
 
7.0%
FRWY 665
 
3.8%
HWY 510
 
2.9%
EXPW 399
 
2.3%
PKWY 391
 
2.2%
Other values (9) 408
 
2.3%
(Missing) 402
 
2.3%

Length

2025-04-14T23:28:37.236120image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
rd 4338
25.5%
ave 2985
17.6%
st 2553
15.0%
ln 1805
10.6%
blvd 1709
 
10.1%
dr 1226
 
7.2%
frwy 665
 
3.9%
hwy 510
 
3.0%
expw 399
 
2.3%
pkwy 391
 
2.3%
Other values (9) 408
 
2.4%

Most occurring characters

ValueCountFrequency (%)
D 7273
16.5%
R 6325
14.3%
V 4694
10.6%
L 3573
8.1%
E 3465
7.8%
A 3127
7.1%
T 2737
 
6.2%
S 2564
 
5.8%
W 2152
 
4.9%
N 1805
 
4.1%
Other values (11) 6459
14.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 44174
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
D 7273
16.5%
R 6325
14.3%
V 4694
10.6%
L 3573
8.1%
E 3465
7.8%
A 3127
7.1%
T 2737
 
6.2%
S 2564
 
5.8%
W 2152
 
4.9%
N 1805
 
4.1%
Other values (11) 6459
14.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 44174
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
D 7273
16.5%
R 6325
14.3%
V 4694
10.6%
L 3573
8.1%
E 3465
7.8%
A 3127
7.1%
T 2737
 
6.2%
S 2564
 
5.8%
W 2152
 
4.9%
N 1805
 
4.1%
Other values (11) 6459
14.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 44174
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
D 7273
16.5%
R 6325
14.3%
V 4694
10.6%
L 3573
8.1%
E 3465
7.8%
A 3127
7.1%
T 2737
 
6.2%
S 2564
 
5.8%
W 2152
 
4.9%
N 1805
 
4.1%
Other values (11) 6459
14.6%

Street Unit
Text

Missing 

Distinct776
Distinct (%)13.1%
Missing11445
Missing (%)65.8%
Memory size711.0 KiB
2025-04-14T23:28:37.635726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.8272788
Min length1

Characters and Unicode

Total characters22757
Distinct characters36
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)2.7%

Sample

1st row#5015
2nd row#300
3rd row#1101
4th row#107
5th row#180
ValueCountFrequency (%)
100 670
 
11.2%
110 261
 
4.4%
a 237
 
4.0%
101 192
 
3.2%
b 163
 
2.7%
120 138
 
2.3%
102 136
 
2.3%
300 112
 
1.9%
130 108
 
1.8%
200 105
 
1.8%
Other values (685) 3857
64.5%
2025-04-14T23:28:38.150859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
# 5351
23.5%
0 5016
22.0%
1 4803
21.1%
2 1695
 
7.4%
3 1064
 
4.7%
5 886
 
3.9%
4 720
 
3.2%
6 561
 
2.5%
8 438
 
1.9%
7 429
 
1.9%
Other values (26) 1794
 
7.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 22757
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
# 5351
23.5%
0 5016
22.0%
1 4803
21.1%
2 1695
 
7.4%
3 1064
 
4.7%
5 886
 
3.9%
4 720
 
3.2%
6 561
 
2.5%
8 438
 
1.9%
7 429
 
1.9%
Other values (26) 1794
 
7.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 22757
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
# 5351
23.5%
0 5016
22.0%
1 4803
21.1%
2 1695
 
7.4%
3 1064
 
4.7%
5 886
 
3.9%
4 720
 
3.2%
6 561
 
2.5%
8 438
 
1.9%
7 429
 
1.9%
Other values (26) 1794
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 22757
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
# 5351
23.5%
0 5016
22.0%
1 4803
21.1%
2 1695
 
7.4%
3 1064
 
4.7%
5 886
 
3.9%
4 720
 
3.2%
6 561
 
2.5%
8 438
 
1.9%
7 429
 
1.9%
Other values (26) 1794
 
7.9%
Distinct6333
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
2025-04-14T23:28:38.476425image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length36
Median length31
Mean length18.968547
Min length10

Characters and Unicode

Total characters329882
Distinct characters46
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1658 ?
Unique (%)9.5%

Sample

1st row4800 ROSS AVE
2nd row2500 VICTORY AVE PLTM #5015
3rd row3100 GRAND AVE
4th row10677 E NORTHWEST HWY #300
5th row2747 FORT WORTH AVE
ValueCountFrequency (%)
rd 4344
 
6.4%
ave 2987
 
4.4%
st 2638
 
3.9%
w 1891
 
2.8%
ln 1813
 
2.7%
blvd 1715
 
2.5%
n 1653
 
2.4%
s 1558
 
2.3%
dr 1226
 
1.8%
e 846
 
1.2%
Other values (4478) 47583
69.7%
2025-04-14T23:28:38.911572image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50863
 
15.4%
E 18267
 
5.5%
R 18146
 
5.5%
1 17254
 
5.2%
0 16884
 
5.1%
L 15020
 
4.6%
N 14597
 
4.4%
A 14506
 
4.4%
S 12421
 
3.8%
T 11378
 
3.4%
Other values (36) 140546
42.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 329882
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
50863
 
15.4%
E 18267
 
5.5%
R 18146
 
5.5%
1 17254
 
5.2%
0 16884
 
5.1%
L 15020
 
4.6%
N 14597
 
4.4%
A 14506
 
4.4%
S 12421
 
3.8%
T 11378
 
3.4%
Other values (36) 140546
42.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 329882
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
50863
 
15.4%
E 18267
 
5.5%
R 18146
 
5.5%
1 17254
 
5.2%
0 16884
 
5.1%
L 15020
 
4.6%
N 14597
 
4.4%
A 14506
 
4.4%
S 12421
 
3.8%
T 11378
 
3.4%
Other values (36) 140546
42.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 329882
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
50863
 
15.4%
E 18267
 
5.5%
R 18146
 
5.5%
1 17254
 
5.2%
0 16884
 
5.1%
L 15020
 
4.6%
N 14597
 
4.4%
A 14506
 
4.4%
S 12421
 
3.8%
T 11378
 
3.4%
Other values (36) 140546
42.6%
Distinct141
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.0 MiB
2025-04-14T23:28:39.129730image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.030648
Min length5

Characters and Unicode

Total characters87488
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)0.2%

Sample

1st row75204
2nd row75201
3rd row75215
4th row75238
5th row75211
ValueCountFrequency (%)
75201 943
 
5.4%
75220 767
 
4.4%
75206 734
 
4.2%
75211 719
 
4.1%
75217 716
 
4.1%
75208 691
 
4.0%
75243 635
 
3.7%
75231 578
 
3.3%
75228 553
 
3.2%
75229 546
 
3.1%
Other values (131) 10509
60.4%
2025-04-14T23:28:39.450728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 22032
25.2%
7 19769
22.6%
5 19196
21.9%
1 6423
 
7.3%
0 6150
 
7.0%
3 4014
 
4.6%
4 3989
 
4.6%
8 2575
 
2.9%
6 1782
 
2.0%
9 1461
 
1.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 87488
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 22032
25.2%
7 19769
22.6%
5 19196
21.9%
1 6423
 
7.3%
0 6150
 
7.0%
3 4014
 
4.6%
4 3989
 
4.6%
8 2575
 
2.9%
6 1782
 
2.0%
9 1461
 
1.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 87488
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 22032
25.2%
7 19769
22.6%
5 19196
21.9%
1 6423
 
7.3%
0 6150
 
7.0%
3 4014
 
4.6%
4 3989
 
4.6%
8 2575
 
2.9%
6 1782
 
2.0%
9 1461
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 87488
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 22032
25.2%
7 19769
22.6%
5 19196
21.9%
1 6423
 
7.3%
0 6150
 
7.0%
3 4014
 
4.6%
4 3989
 
4.6%
8 2575
 
2.9%
6 1782
 
2.0%
9 1461
 
1.7%
Distinct394
Distinct (%)2.5%
Missing1691
Missing (%)9.7%
Memory size1.6 MiB
2025-04-14T23:28:39.727591image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length92
Mean length42.456688
Min length12

Characters and Unicode

Total characters666570
Distinct characters81
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)0.6%

Sample

1st row*07 Food safe, good condition, unadulterated, and honestly presented
2nd row*10 Clean Sight and Touch
3rd row*42 Dirty nonfood contact surfaces
4th row*24 Food Labeling- with common name of the food
5th row*45 Drying Mops-air dry
ValueCountFrequency (%)
3868
 
3.5%
food 3821
 
3.5%
and 2578
 
2.4%
10 2097
 
1.9%
or 1973
 
1.8%
not 1876
 
1.7%
in 1741
 
1.6%
clean 1572
 
1.4%
21 1562
 
1.4%
good 1546
 
1.4%
Other values (920) 86613
79.3%
2025-04-14T23:28:40.143241image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95282
 
14.3%
o 49879
 
7.5%
e 49772
 
7.5%
n 39104
 
5.9%
t 38507
 
5.8%
i 37080
 
5.6%
a 34755
 
5.2%
r 29067
 
4.4%
s 27976
 
4.2%
d 25907
 
3.9%
Other values (71) 239241
35.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 666570
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
95282
 
14.3%
o 49879
 
7.5%
e 49772
 
7.5%
n 39104
 
5.9%
t 38507
 
5.8%
i 37080
 
5.6%
a 34755
 
5.2%
r 29067
 
4.4%
s 27976
 
4.2%
d 25907
 
3.9%
Other values (71) 239241
35.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 666570
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
95282
 
14.3%
o 49879
 
7.5%
e 49772
 
7.5%
n 39104
 
5.9%
t 38507
 
5.8%
i 37080
 
5.6%
a 34755
 
5.2%
r 29067
 
4.4%
s 27976
 
4.2%
d 25907
 
3.9%
Other values (71) 239241
35.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 666570
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
95282
 
14.3%
o 49879
 
7.5%
e 49772
 
7.5%
n 39104
 
5.9%
t 38507
 
5.8%
i 37080
 
5.6%
a 34755
 
5.2%
r 29067
 
4.4%
s 27976
 
4.2%
d 25907
 
3.9%
Other values (71) 239241
35.9%

Violation Points - 1
Categorical

High correlation  Missing 

Distinct3
Distinct (%)< 0.1%
Missing1691
Missing (%)9.7%
Memory size1.0 MiB
3.0
6745 
1.0
4857 
2.0
4098 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters47100
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row3.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
3.0 6745
38.8%
1.0 4857
27.9%
2.0 4098
23.6%
(Missing) 1691
 
9.7%

Length

2025-04-14T23:28:40.261258image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:28:40.332059image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
3.0 6745
43.0%
1.0 4857
30.9%
2.0 4098
26.1%

Most occurring characters

ValueCountFrequency (%)
. 15700
33.3%
0 15700
33.3%
3 6745
14.3%
1 4857
 
10.3%
2 4098
 
8.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 47100
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 15700
33.3%
0 15700
33.3%
3 6745
14.3%
1 4857
 
10.3%
2 4098
 
8.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 47100
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 15700
33.3%
0 15700
33.3%
3 6745
14.3%
1 4857
 
10.3%
2 4098
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 47100
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 15700
33.3%
0 15700
33.3%
3 6745
14.3%
1 4857
 
10.3%
2 4098
 
8.7%

Violation Detail - 1
Text

Missing 

Distinct401
Distinct (%)2.6%
Missing1831
Missing (%)10.5%
Memory size7.4 MiB
2025-04-14T23:28:40.575233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length910
Median length742
Mean length368.89974
Min length125

Characters and Unicode

Total characters5740080
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)0.6%

Sample

1st row228.61 Food. Condition safe, unadulterated, and honestly presented. Food shall be safe, unadulterated, and, as specified in õ228.78(b) of this title, honestly presented.
2nd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
3rd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
4th row228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (A) the common name of the food, or absent a common name, an adequately descriptive identity statement;
5th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (f) Drying mops. After use, mops shall be placed in a position that allows them to air-dry without soiling walls, equipment, or supplies.
ValueCountFrequency (%)
and 45093
 
5.7%
food 33293
 
4.2%
of 27412
 
3.4%
the 24881
 
3.1%
a 20458
 
2.6%
in 18491
 
2.3%
shall 17948
 
2.3%
equipment 16419
 
2.1%
be 15523
 
2.0%
or 13961
 
1.8%
Other values (2046) 561965
70.6%
2025-04-14T23:28:41.006603image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1167830
20.3%
e 490207
 
8.5%
a 331932
 
5.8%
n 328724
 
5.7%
t 326286
 
5.7%
i 325838
 
5.7%
o 311467
 
5.4%
s 302248
 
5.3%
r 230742
 
4.0%
d 196110
 
3.4%
Other values (62) 1728696
30.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5740080
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1167830
20.3%
e 490207
 
8.5%
a 331932
 
5.8%
n 328724
 
5.7%
t 326286
 
5.7%
i 325838
 
5.7%
o 311467
 
5.4%
s 302248
 
5.3%
r 230742
 
4.0%
d 196110
 
3.4%
Other values (62) 1728696
30.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5740080
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1167830
20.3%
e 490207
 
8.5%
a 331932
 
5.8%
n 328724
 
5.7%
t 326286
 
5.7%
i 325838
 
5.7%
o 311467
 
5.4%
s 302248
 
5.3%
r 230742
 
4.0%
d 196110
 
3.4%
Other values (62) 1728696
30.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5740080
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1167830
20.3%
e 490207
 
8.5%
a 331932
 
5.8%
n 328724
 
5.7%
t 326286
 
5.7%
i 325838
 
5.7%
o 311467
 
5.4%
s 302248
 
5.3%
r 230742
 
4.0%
d 196110
 
3.4%
Other values (62) 1728696
30.1%

Violation Memo - 1
Text

Missing 

Distinct11440
Distinct (%)84.0%
Missing3779
Missing (%)21.7%
Memory size1.5 MiB
2025-04-14T23:28:41.330265image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1851
Median length321
Mean length49.983324
Min length1

Characters and Unicode

Total characters680373
Distinct characters91
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10665 ?
Unique (%)78.3%

Sample

1st rowRemove dented cans
2nd rowCLEAN INSIDE OF ICE MACHINE
3rd rowClean handles of machinery and spills
4th rowlabel squeeze bottles
5th rowhang mops when not in use
ValueCountFrequency (%)
in 3165
 
2.7%
observed 2473
 
2.1%
at 2446
 
2.1%
food 2108
 
1.8%
of 2072
 
1.8%
clean 2064
 
1.8%
on 2047
 
1.8%
and 1937
 
1.7%
the 1334
 
1.1%
to 1271
 
1.1%
Other values (5604) 95085
82.0%
2025-04-14T23:28:41.847888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105926
 
15.6%
e 52846
 
7.8%
o 34492
 
5.1%
a 32189
 
4.7%
r 29169
 
4.3%
i 28903
 
4.2%
n 28760
 
4.2%
t 28176
 
4.1%
s 25594
 
3.8%
d 19887
 
2.9%
Other values (81) 294431
43.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 680373
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
105926
 
15.6%
e 52846
 
7.8%
o 34492
 
5.1%
a 32189
 
4.7%
r 29169
 
4.3%
i 28903
 
4.2%
n 28760
 
4.2%
t 28176
 
4.1%
s 25594
 
3.8%
d 19887
 
2.9%
Other values (81) 294431
43.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 680373
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
105926
 
15.6%
e 52846
 
7.8%
o 34492
 
5.1%
a 32189
 
4.7%
r 29169
 
4.3%
i 28903
 
4.2%
n 28760
 
4.2%
t 28176
 
4.1%
s 25594
 
3.8%
d 19887
 
2.9%
Other values (81) 294431
43.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 680373
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
105926
 
15.6%
e 52846
 
7.8%
o 34492
 
5.1%
a 32189
 
4.7%
r 29169
 
4.3%
i 28903
 
4.2%
n 28760
 
4.2%
t 28176
 
4.1%
s 25594
 
3.8%
d 19887
 
2.9%
Other values (81) 294431
43.3%
Distinct408
Distinct (%)2.9%
Missing3458
Missing (%)19.9%
Memory size1.5 MiB
2025-04-14T23:28:42.086405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length89
Mean length43.031149
Min length12

Characters and Unicode

Total characters599553
Distinct characters82
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)0.7%

Sample

1st row*45 Premises shall be maintained in good repair
2nd row*42 Dirty nonfood contact surfaces
3rd row*19 Water & Plumbing in good repair- per code
4th row*29 Sanitizing solutions, testing devices
5th row*47 Health permit posted
ValueCountFrequency (%)
3430
 
3.5%
food 3402
 
3.5%
in 1681
 
1.7%
and 1641
 
1.7%
not 1466
 
1.5%
42 1284
 
1.3%
dirty 1227
 
1.3%
21 1206
 
1.2%
10 1196
 
1.2%
good 1193
 
1.2%
Other values (942) 79204
81.7%
2025-04-14T23:28:42.480189image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84486
14.1%
e 46474
 
7.8%
o 43290
 
7.2%
n 36428
 
6.1%
i 36373
 
6.1%
t 35906
 
6.0%
a 31316
 
5.2%
s 28570
 
4.8%
r 27237
 
4.5%
d 21464
 
3.6%
Other values (72) 208009
34.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 599553
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
84486
14.1%
e 46474
 
7.8%
o 43290
 
7.2%
n 36428
 
6.1%
i 36373
 
6.1%
t 35906
 
6.0%
a 31316
 
5.2%
s 28570
 
4.8%
r 27237
 
4.5%
d 21464
 
3.6%
Other values (72) 208009
34.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 599553
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
84486
14.1%
e 46474
 
7.8%
o 43290
 
7.2%
n 36428
 
6.1%
i 36373
 
6.1%
t 35906
 
6.0%
a 31316
 
5.2%
s 28570
 
4.8%
r 27237
 
4.5%
d 21464
 
3.6%
Other values (72) 208009
34.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 599553
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
84486
14.1%
e 46474
 
7.8%
o 43290
 
7.2%
n 36428
 
6.1%
i 36373
 
6.1%
t 35906
 
6.0%
a 31316
 
5.2%
s 28570
 
4.8%
r 27237
 
4.5%
d 21464
 
3.6%
Other values (72) 208009
34.7%

Violation Points - 2
Categorical

High correlation  Missing 

Distinct4
Distinct (%)< 0.1%
Missing3458
Missing (%)19.9%
Memory size1.0 MiB
1.0
5866 
2.0
4208 
3.0
3858 
4.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters41799
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1.0
2nd row1.0
3rd row3.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 5866
33.7%
2.0 4208
24.2%
3.0 3858
22.2%
4.0 1
 
< 0.1%
(Missing) 3458
19.9%

Length

2025-04-14T23:28:42.601052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:28:42.677876image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 5866
42.1%
2.0 4208
30.2%
3.0 3858
27.7%
4.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 13933
33.3%
0 13933
33.3%
1 5866
14.0%
2 4208
 
10.1%
3 3858
 
9.2%
4 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 41799
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 13933
33.3%
0 13933
33.3%
1 5866
14.0%
2 4208
 
10.1%
3 3858
 
9.2%
4 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 41799
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 13933
33.3%
0 13933
33.3%
1 5866
14.0%
2 4208
 
10.1%
3 3858
 
9.2%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 41799
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 13933
33.3%
0 13933
33.3%
1 5866
14.0%
2 4208
 
10.1%
3 3858
 
9.2%
4 1
 
< 0.1%

Violation Detail - 2
Text

Missing 

Distinct415
Distinct (%)3.0%
Missing3632
Missing (%)20.9%
Memory size6.4 MiB
2025-04-14T23:28:43.363500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length910
Median length726
Mean length356.78669
Min length125

Characters and Unicode

Total characters4909028
Distinct characters76
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)0.8%

Sample

1st row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
2nd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
3rd row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; and
4th row228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (e) Sanitizing solutions, testing device. A test kit or other device that accurately measures the concentration in mg/L of sanitizing solutions shall be provided.
5th rowSEC. 17-10.2. ADDITIONAL REQUIREMENTS. (c) Permits. (11) Display. A food establishment that operates from a fixed facility shall display its permit in a frame with a glass cover at a prominent place inside the facility where it can be easily seen by the public.
ValueCountFrequency (%)
and 37365
 
5.5%
food 28492
 
4.2%
of 23678
 
3.5%
the 22636
 
3.3%
a 18750
 
2.8%
shall 15794
 
2.3%
in 15195
 
2.2%
equipment 14547
 
2.1%
be 13729
 
2.0%
or 10688
 
1.6%
Other values (2081) 476138
70.3%
2025-04-14T23:28:43.856899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
990165
20.2%
e 420758
 
8.6%
a 285038
 
5.8%
n 284755
 
5.8%
i 283424
 
5.8%
t 278159
 
5.7%
s 263627
 
5.4%
o 262745
 
5.4%
r 196629
 
4.0%
d 166675
 
3.4%
Other values (66) 1477053
30.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4909028
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
990165
20.2%
e 420758
 
8.6%
a 285038
 
5.8%
n 284755
 
5.8%
i 283424
 
5.8%
t 278159
 
5.7%
s 263627
 
5.4%
o 262745
 
5.4%
r 196629
 
4.0%
d 166675
 
3.4%
Other values (66) 1477053
30.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4909028
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
990165
20.2%
e 420758
 
8.6%
a 285038
 
5.8%
n 284755
 
5.8%
i 283424
 
5.8%
t 278159
 
5.7%
s 263627
 
5.4%
o 262745
 
5.4%
r 196629
 
4.0%
d 166675
 
3.4%
Other values (66) 1477053
30.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4909028
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
990165
20.2%
e 420758
 
8.6%
a 285038
 
5.8%
n 284755
 
5.8%
i 283424
 
5.8%
t 278159
 
5.7%
s 263627
 
5.4%
o 262745
 
5.4%
r 196629
 
4.0%
d 166675
 
3.4%
Other values (66) 1477053
30.1%

Violation Memo - 2
Text

Missing 

Distinct10082
Distinct (%)85.0%
Missing5528
Missing (%)31.8%
Memory size1.3 MiB
2025-04-14T23:28:44.245498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1315
Median length209
Mean length46.91562
Min length2

Characters and Unicode

Total characters556560
Distinct characters93
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9342 ?
Unique (%)78.7%

Sample

1st rowReplace lights under vent hood
2nd rowclean bottom of RIF
3rd rowFix the plumbing at the hand sink
4th rowprovide chemical test strips to check the sanitizer
5th rowNOT POSTED
ValueCountFrequency (%)
in 2873
 
3.1%
food 1967
 
2.1%
observed 1945
 
2.1%
on 1941
 
2.1%
clean 1792
 
1.9%
of 1724
 
1.8%
and 1568
 
1.7%
at 1441
 
1.5%
the 1217
 
1.3%
provide 1183
 
1.3%
Other values (4610) 76499
81.3%
2025-04-14T23:28:44.815026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84319
 
15.2%
e 43444
 
7.8%
o 29439
 
5.3%
a 26227
 
4.7%
n 24689
 
4.4%
r 24536
 
4.4%
i 24106
 
4.3%
t 23600
 
4.2%
s 21569
 
3.9%
d 16287
 
2.9%
Other values (83) 238344
42.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 556560
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
84319
 
15.2%
e 43444
 
7.8%
o 29439
 
5.3%
a 26227
 
4.7%
n 24689
 
4.4%
r 24536
 
4.4%
i 24106
 
4.3%
t 23600
 
4.2%
s 21569
 
3.9%
d 16287
 
2.9%
Other values (83) 238344
42.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 556560
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
84319
 
15.2%
e 43444
 
7.8%
o 29439
 
5.3%
a 26227
 
4.7%
n 24689
 
4.4%
r 24536
 
4.4%
i 24106
 
4.3%
t 23600
 
4.2%
s 21569
 
3.9%
d 16287
 
2.9%
Other values (83) 238344
42.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 556560
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
84319
 
15.2%
e 43444
 
7.8%
o 29439
 
5.3%
a 26227
 
4.7%
n 24689
 
4.4%
r 24536
 
4.4%
i 24106
 
4.3%
t 23600
 
4.2%
s 21569
 
3.9%
d 16287
 
2.9%
Other values (83) 238344
42.8%
Distinct391
Distinct (%)3.3%
Missing5549
Missing (%)31.9%
Memory size1.3 MiB
2025-04-14T23:28:45.078188image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length87
Mean length43.415724
Min length12

Characters and Unicode

Total characters514129
Distinct characters81
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)0.9%

Sample

1st row*14 When to wash hands before donning new gloves
2nd row*20 Grease Trap Tickets
3rd row*45 Mats / Duckboards nonabsorbent
4th row*20 Grease Trap Tickets
5th row*30 Does Establishment have a current valid permit posted?
ValueCountFrequency (%)
food 2960
 
3.6%
2754
 
3.4%
in 1401
 
1.7%
42 1177
 
1.4%
dirty 1134
 
1.4%
and 1113
 
1.4%
not 1076
 
1.3%
or 1023
 
1.2%
good 976
 
1.2%
of 959
 
1.2%
Other values (903) 67465
82.2%
2025-04-14T23:28:45.606819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71400
13.9%
e 40489
 
7.9%
o 37262
 
7.2%
i 31755
 
6.2%
n 31095
 
6.0%
t 30583
 
5.9%
a 26048
 
5.1%
s 25921
 
5.0%
r 23538
 
4.6%
d 18332
 
3.6%
Other values (71) 177706
34.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 514129
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
71400
13.9%
e 40489
 
7.9%
o 37262
 
7.2%
i 31755
 
6.2%
n 31095
 
6.0%
t 30583
 
5.9%
a 26048
 
5.1%
s 25921
 
5.0%
r 23538
 
4.6%
d 18332
 
3.6%
Other values (71) 177706
34.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 514129
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
71400
13.9%
e 40489
 
7.9%
o 37262
 
7.2%
i 31755
 
6.2%
n 31095
 
6.0%
t 30583
 
5.9%
a 26048
 
5.1%
s 25921
 
5.0%
r 23538
 
4.6%
d 18332
 
3.6%
Other values (71) 177706
34.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 514129
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
71400
13.9%
e 40489
 
7.9%
o 37262
 
7.2%
i 31755
 
6.2%
n 31095
 
6.0%
t 30583
 
5.9%
a 26048
 
5.1%
s 25921
 
5.0%
r 23538
 
4.6%
d 18332
 
3.6%
Other values (71) 177706
34.6%

Violation Points - 3
Categorical

High correlation  Missing 

Distinct4
Distinct (%)< 0.1%
Missing5549
Missing (%)31.9%
Memory size1.0 MiB
1.0
5785 
2.0
3734 
3.0
2321 
4.0
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters35526
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row3.0
3rd row1.0
4th row3.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 5785
33.3%
2.0 3734
21.5%
3.0 2321
13.3%
4.0 2
 
< 0.1%
(Missing) 5549
31.9%

Length

2025-04-14T23:28:45.777848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:28:45.876627image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 5785
48.9%
2.0 3734
31.5%
3.0 2321
19.6%
4.0 2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 11842
33.3%
0 11842
33.3%
1 5785
16.3%
2 3734
 
10.5%
3 2321
 
6.5%
4 2
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 35526
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 11842
33.3%
0 11842
33.3%
1 5785
16.3%
2 3734
 
10.5%
3 2321
 
6.5%
4 2
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 35526
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 11842
33.3%
0 11842
33.3%
1 5785
16.3%
2 3734
 
10.5%
3 2321
 
6.5%
4 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 35526
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 11842
33.3%
0 11842
33.3%
1 5785
16.3%
2 3734
 
10.5%
3 2321
 
6.5%
4 2
 
< 0.1%

Violation Detail - 3
Text

Missing 

Distinct397
Distinct (%)3.4%
Missing5724
Missing (%)32.9%
Memory size5.4 MiB
2025-04-14T23:28:46.322332image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length910
Median length694
Mean length354.08314
Min length125

Characters and Unicode

Total characters4131088
Distinct characters74
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)1.0%

Sample

1st row228.38 Management and Personnel. (d) When to wash. Food employees shall clean their hands and exposed portions of their arms as specified in subsection (b) of this section immediately before engaging in food preparation including working with exposed food, clean equipment and utensils, and unwrapped single-service and single-use articles and: (8) before donning gloves to initiate a task that involves working with food; and
2nd rowCh.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.
3rd rowSEC. 17-6.2. ADDITIONAL REQUIREMENTS. (c) Floors, walls, and ceilings. (2) Special requirements for floors. A food establishment shall: (C) use only mats and duckboards that are constructed of nonabsorbent, grease resistant material of a size, design, and construction that permits easy cleaning;
4th rowCh.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.
5th row228.247 COMPLIANCE Permit Requirement, Prerequisite for Operation A person may not operate a food establishment without a valid permit or license to operate issued by the regulatory authority.
ValueCountFrequency (%)
and 30620
 
5.4%
food 24003
 
4.2%
of 20304
 
3.6%
the 19440
 
3.4%
a 15896
 
2.8%
shall 13239
 
2.3%
in 12558
 
2.2%
equipment 11765
 
2.1%
be 11683
 
2.1%
or 9046
 
1.6%
Other values (2044) 400957
70.4%
2025-04-14T23:28:47.099646image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
837415
20.3%
e 354756
 
8.6%
i 240097
 
5.8%
a 238340
 
5.8%
n 237349
 
5.7%
t 233261
 
5.6%
s 222744
 
5.4%
o 220674
 
5.3%
r 166281
 
4.0%
d 140656
 
3.4%
Other values (64) 1239515
30.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4131088
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
837415
20.3%
e 354756
 
8.6%
i 240097
 
5.8%
a 238340
 
5.8%
n 237349
 
5.7%
t 233261
 
5.6%
s 222744
 
5.4%
o 220674
 
5.3%
r 166281
 
4.0%
d 140656
 
3.4%
Other values (64) 1239515
30.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4131088
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
837415
20.3%
e 354756
 
8.6%
i 240097
 
5.8%
a 238340
 
5.8%
n 237349
 
5.7%
t 233261
 
5.6%
s 222744
 
5.4%
o 220674
 
5.3%
r 166281
 
4.0%
d 140656
 
3.4%
Other values (64) 1239515
30.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4131088
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
837415
20.3%
e 354756
 
8.6%
i 240097
 
5.8%
a 238340
 
5.8%
n 237349
 
5.7%
t 233261
 
5.6%
s 222744
 
5.4%
o 220674
 
5.3%
r 166281
 
4.0%
d 140656
 
3.4%
Other values (64) 1239515
30.0%

Violation Memo - 3
Text

Missing 

Distinct8591
Distinct (%)85.6%
Missing7358
Missing (%)42.3%
Memory size1.2 MiB
2025-04-14T23:28:47.654457image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1615
Median length234
Mean length47.586963
Min length2

Characters and Unicode

Total characters477440
Distinct characters91
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7982 ?
Unique (%)79.6%

Sample

1st rowcan't have newspaper on floor
2nd rowCHANGE NAME OF ESTABLISHMENT
3rd rowMust datemark items held longer than 24 hrs for no more than 7 days.
4th rowClean floor of beer WIC
5th rowFix small leak at 3CS
ValueCountFrequency (%)
in 2518
 
3.2%
food 1786
 
2.2%
on 1641
 
2.1%
observed 1603
 
2.0%
clean 1479
 
1.9%
of 1392
 
1.7%
and 1225
 
1.5%
provide 1156
 
1.4%
the 1128
 
1.4%
at 992
 
1.2%
Other values (3955) 65014
81.3%
2025-04-14T23:28:48.203083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72708
 
15.2%
e 37049
 
7.8%
o 25720
 
5.4%
a 21872
 
4.6%
n 21350
 
4.5%
r 20704
 
4.3%
i 20441
 
4.3%
t 20060
 
4.2%
s 18982
 
4.0%
l 14022
 
2.9%
Other values (81) 204532
42.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 477440
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
72708
 
15.2%
e 37049
 
7.8%
o 25720
 
5.4%
a 21872
 
4.6%
n 21350
 
4.5%
r 20704
 
4.3%
i 20441
 
4.3%
t 20060
 
4.2%
s 18982
 
4.0%
l 14022
 
2.9%
Other values (81) 204532
42.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 477440
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
72708
 
15.2%
e 37049
 
7.8%
o 25720
 
5.4%
a 21872
 
4.6%
n 21350
 
4.5%
r 20704
 
4.3%
i 20441
 
4.3%
t 20060
 
4.2%
s 18982
 
4.0%
l 14022
 
2.9%
Other values (81) 204532
42.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 477440
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
72708
 
15.2%
e 37049
 
7.8%
o 25720
 
5.4%
a 21872
 
4.6%
n 21350
 
4.5%
r 20704
 
4.3%
i 20441
 
4.3%
t 20060
 
4.2%
s 18982
 
4.0%
l 14022
 
2.9%
Other values (81) 204532
42.8%
Distinct361
Distinct (%)3.7%
Missing7589
Missing (%)43.6%
Memory size1.2 MiB
2025-04-14T23:28:48.551399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length87
Mean length44.137217
Min length12

Characters and Unicode

Total characters432633
Distinct characters81
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)0.9%

Sample

1st row*28 Date marking > 24 hrs,on site,temp 41F
2nd row*21 RFSM - Not On Site
3rd row*28 Date marking > 24 hrs,on site,temp 41F
4th row*43 Clean vent syst:Intake/exhaust air ducts
5th row*39 In-use utensils, between-use storage. During pauses in food preparation or dispensing, food prep
ValueCountFrequency (%)
food 2546
 
3.7%
2168
 
3.2%
in 1260
 
1.8%
42 1010
 
1.5%
dirty 973
 
1.4%
or 937
 
1.4%
and 851
 
1.2%
good 839
 
1.2%
of 824
 
1.2%
the 816
 
1.2%
Other values (881) 56481
82.2%
2025-04-14T23:28:49.053262image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59927
13.9%
e 34180
 
7.9%
o 31500
 
7.3%
i 27017
 
6.2%
n 26260
 
6.1%
t 25541
 
5.9%
s 22109
 
5.1%
a 21919
 
5.1%
r 20257
 
4.7%
d 15335
 
3.5%
Other values (71) 148588
34.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 432633
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
59927
13.9%
e 34180
 
7.9%
o 31500
 
7.3%
i 27017
 
6.2%
n 26260
 
6.1%
t 25541
 
5.9%
s 22109
 
5.1%
a 21919
 
5.1%
r 20257
 
4.7%
d 15335
 
3.5%
Other values (71) 148588
34.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 432633
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
59927
13.9%
e 34180
 
7.9%
o 31500
 
7.3%
i 27017
 
6.2%
n 26260
 
6.1%
t 25541
 
5.9%
s 22109
 
5.1%
a 21919
 
5.1%
r 20257
 
4.7%
d 15335
 
3.5%
Other values (71) 148588
34.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 432633
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
59927
13.9%
e 34180
 
7.9%
o 31500
 
7.3%
i 27017
 
6.2%
n 26260
 
6.1%
t 25541
 
5.9%
s 22109
 
5.1%
a 21919
 
5.1%
r 20257
 
4.7%
d 15335
 
3.5%
Other values (71) 148588
34.3%

Violation Points - 4
Categorical

High correlation  Missing 

Distinct3
Distinct (%)< 0.1%
Missing7589
Missing (%)43.6%
Memory size1.0 MiB
1.0
5359 
2.0
2855 
3.0
1588 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters29406
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 5359
30.8%
2.0 2855
 
16.4%
3.0 1588
 
9.1%
(Missing) 7589
43.6%

Length

2025-04-14T23:28:49.163886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:28:49.229174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 5359
54.7%
2.0 2855
29.1%
3.0 1588
 
16.2%

Most occurring characters

ValueCountFrequency (%)
. 9802
33.3%
0 9802
33.3%
1 5359
18.2%
2 2855
 
9.7%
3 1588
 
5.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29406
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 9802
33.3%
0 9802
33.3%
1 5359
18.2%
2 2855
 
9.7%
3 1588
 
5.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29406
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 9802
33.3%
0 9802
33.3%
1 5359
18.2%
2 2855
 
9.7%
3 1588
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29406
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 9802
33.3%
0 9802
33.3%
1 5359
18.2%
2 2855
 
9.7%
3 1588
 
5.4%

Violation Detail - 4
Text

Missing 

Distinct367
Distinct (%)3.8%
Missing7762
Missing (%)44.6%
Memory size4.5 MiB
2025-04-14T23:28:49.541252image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length910
Median length695
Mean length351.03822
Min length125

Characters and Unicode

Total characters3380147
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)1.0%

Sample

1st row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
2nd rowSec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.
3rd row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
4th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (d) Cleaning ventilation systems, nuisance and discharge prohibition. (1) Intake and exhaust air ducts shall be cleaned and filters changed so they are not a source of contamination by dust, dirt, and other materials.
5th row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (b) In-use utensils, between-use storage. During pauses in food preparation or dispensing, food preparation and dispensing utensils shall be stored: (1) except as specified in subsection (a) of this section, in the food with their handles above the top of the food and the container;
ValueCountFrequency (%)
and 25041
 
5.4%
food 19308
 
4.2%
of 16646
 
3.6%
the 15563
 
3.3%
a 12874
 
2.8%
shall 10774
 
2.3%
in 10233
 
2.2%
equipment 9725
 
2.1%
be 9599
 
2.1%
or 7574
 
1.6%
Other values (1972) 327522
70.5%
2025-04-14T23:28:50.048725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
688263
20.4%
e 289520
 
8.6%
i 198278
 
5.9%
n 195094
 
5.8%
a 194467
 
5.8%
t 189856
 
5.6%
s 183308
 
5.4%
o 180352
 
5.3%
r 135422
 
4.0%
d 113770
 
3.4%
Other values (62) 1011817
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3380147
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
688263
20.4%
e 289520
 
8.6%
i 198278
 
5.9%
n 195094
 
5.8%
a 194467
 
5.8%
t 189856
 
5.6%
s 183308
 
5.4%
o 180352
 
5.3%
r 135422
 
4.0%
d 113770
 
3.4%
Other values (62) 1011817
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3380147
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
688263
20.4%
e 289520
 
8.6%
i 198278
 
5.9%
n 195094
 
5.8%
a 194467
 
5.8%
t 189856
 
5.6%
s 183308
 
5.4%
o 180352
 
5.3%
r 135422
 
4.0%
d 113770
 
3.4%
Other values (62) 1011817
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3380147
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
688263
20.4%
e 289520
 
8.6%
i 198278
 
5.9%
n 195094
 
5.8%
a 194467
 
5.8%
t 189856
 
5.6%
s 183308
 
5.4%
o 180352
 
5.3%
r 135422
 
4.0%
d 113770
 
3.4%
Other values (62) 1011817
29.9%

Violation Memo - 4
Text

Missing 

Distinct7231
Distinct (%)86.8%
Missing9056
Missing (%)52.1%
Memory size1.1 MiB
2025-04-14T23:28:50.333609image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length845
Median length191
Mean length46.763287
Min length2

Characters and Unicode

Total characters389772
Distinct characters87
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6745 ?
Unique (%)80.9%

Sample

1st rowProvide date marking for the chicken and ham
2nd rowprovide RFSM
3rd rowSHALL DATE MARK FOR A MAX OF 7 DAYS
4th rowObserved scoop handle touching food.
5th rowPost proper signage
ValueCountFrequency (%)
in 2238
 
3.4%
food 1557
 
2.4%
on 1321
 
2.0%
observed 1288
 
2.0%
clean 1224
 
1.9%
of 1034
 
1.6%
and 1011
 
1.5%
provide 997
 
1.5%
the 970
 
1.5%
sink 782
 
1.2%
Other values (3533) 53321
81.1%
2025-04-14T23:28:50.779607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59163
 
15.2%
e 30193
 
7.7%
o 21479
 
5.5%
a 17699
 
4.5%
n 17588
 
4.5%
r 17362
 
4.5%
i 16487
 
4.2%
t 16354
 
4.2%
s 15516
 
4.0%
l 11598
 
3.0%
Other values (77) 166333
42.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 389772
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
59163
 
15.2%
e 30193
 
7.7%
o 21479
 
5.5%
a 17699
 
4.5%
n 17588
 
4.5%
r 17362
 
4.5%
i 16487
 
4.2%
t 16354
 
4.2%
s 15516
 
4.0%
l 11598
 
3.0%
Other values (77) 166333
42.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 389772
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
59163
 
15.2%
e 30193
 
7.7%
o 21479
 
5.5%
a 17699
 
4.5%
n 17588
 
4.5%
r 17362
 
4.5%
i 16487
 
4.2%
t 16354
 
4.2%
s 15516
 
4.0%
l 11598
 
3.0%
Other values (77) 166333
42.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 389772
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
59163
 
15.2%
e 30193
 
7.7%
o 21479
 
5.5%
a 17699
 
4.5%
n 17588
 
4.5%
r 17362
 
4.5%
i 16487
 
4.2%
t 16354
 
4.2%
s 15516
 
4.0%
l 11598
 
3.0%
Other values (77) 166333
42.7%
Distinct342
Distinct (%)4.3%
Missing9466
Missing (%)54.4%
Memory size1.1 MiB
2025-04-14T23:28:50.982493image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length87
Mean length44.933628
Min length12

Characters and Unicode

Total characters356099
Distinct characters83
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)1.2%

Sample

1st row*03 Food products not maintained at 135øF or above
2nd row*29 Food thermometers provided and accessible
3rd row*32 Equipment & Utensils resistant pit,chip, crazing
4th row*42 Dirty nonfood contact surfaces
5th row*36 Containers of chemical sanitizing solutions stored off the floor and used in a manner that preve
ValueCountFrequency (%)
food 2176
 
3.9%
1685
 
3.0%
in 1022
 
1.8%
or 847
 
1.5%
42 782
 
1.4%
dirty 753
 
1.3%
of 729
 
1.3%
the 726
 
1.3%
and 681
 
1.2%
equipment 657
 
1.2%
Other values (859) 46238
82.1%
2025-04-14T23:28:51.314473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49186
13.8%
e 28141
 
7.9%
o 26220
 
7.4%
i 22417
 
6.3%
n 21870
 
6.1%
t 20989
 
5.9%
s 18311
 
5.1%
a 18060
 
5.1%
r 16669
 
4.7%
d 12611
 
3.5%
Other values (73) 121625
34.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 356099
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
49186
13.8%
e 28141
 
7.9%
o 26220
 
7.4%
i 22417
 
6.3%
n 21870
 
6.1%
t 20989
 
5.9%
s 18311
 
5.1%
a 18060
 
5.1%
r 16669
 
4.7%
d 12611
 
3.5%
Other values (73) 121625
34.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 356099
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
49186
13.8%
e 28141
 
7.9%
o 26220
 
7.4%
i 22417
 
6.3%
n 21870
 
6.1%
t 20989
 
5.9%
s 18311
 
5.1%
a 18060
 
5.1%
r 16669
 
4.7%
d 12611
 
3.5%
Other values (73) 121625
34.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 356099
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
49186
13.8%
e 28141
 
7.9%
o 26220
 
7.4%
i 22417
 
6.3%
n 21870
 
6.1%
t 20989
 
5.9%
s 18311
 
5.1%
a 18060
 
5.1%
r 16669
 
4.7%
d 12611
 
3.5%
Other values (73) 121625
34.2%

Violation Points - 5
Categorical

Missing 

Distinct4
Distinct (%)0.1%
Missing9466
Missing (%)54.4%
Memory size1.0 MiB
1.0
4532 
2.0
2144 
3.0
1248 
4.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters23775
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row3.0
2nd row2.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 4532
26.1%
2.0 2144
 
12.3%
3.0 1248
 
7.2%
4.0 1
 
< 0.1%
(Missing) 9466
54.4%

Length

2025-04-14T23:28:51.421117image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:28:51.489045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 4532
57.2%
2.0 2144
27.1%
3.0 1248
 
15.7%
4.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 7925
33.3%
0 7925
33.3%
1 4532
19.1%
2 2144
 
9.0%
3 1248
 
5.2%
4 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 23775
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 7925
33.3%
0 7925
33.3%
1 4532
19.1%
2 2144
 
9.0%
3 1248
 
5.2%
4 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 23775
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 7925
33.3%
0 7925
33.3%
1 4532
19.1%
2 2144
 
9.0%
3 1248
 
5.2%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 23775
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 7925
33.3%
0 7925
33.3%
1 4532
19.1%
2 2144
 
9.0%
3 1248
 
5.2%
4 1
 
< 0.1%

Violation Detail - 5
Text

Missing 

Distinct348
Distinct (%)4.5%
Missing9624
Missing (%)55.3%
Memory size3.8 MiB
2025-04-14T23:28:51.736432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length895
Median length666
Mean length352.26394
Min length125

Characters and Unicode

Total characters2736034
Distinct characters75
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)1.2%

Sample

1st row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this sectionin paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (A) at 57 degrees Celsius (135 degrees Fahrenheit) or above, except that roasts cooked to a temperature and for a time specified in õ228.71(a)(2) of this title or reheated as specified in subsection õ228.73(e) of this title may be held at a temperature of 54 degrees Celsius (130 degrees Fahrenheit);
2nd row228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (b) Food temperature measuring devices. Food temperature measuring devices shall be provided readily accessible for use in ensuring attainment and maintenance of food temperatures as specified under Subchapter C of this chapter (relating to Food).
3rd row228.101 Equipment, Utensils, and Linens. Multiuse materials. (a) Characteristics. Materials that are used in the construction of utensils and food-contact surfaces of equipment may not allow the migration of deleterious substances or impart colors, odors, or tastes to food and under normal use conditions shall be: (5) resistant to pitting, chipping, crazing, scratching, scoring, distortion, and decomposition.
4th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
5th row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (5) containers of chemical sanitizing solutions specified in paragraph (2)(A) of this subsection in which wet wiping cloths are held between uses shall be stored off the floor and used in a manner that prevents contamination of food, equipment, utensils, linens, single-service, or single-use articles. .
ValueCountFrequency (%)
and 20486
 
5.5%
food 15502
 
4.1%
of 13488
 
3.6%
the 12441
 
3.3%
a 10234
 
2.7%
shall 8694
 
2.3%
in 8273
 
2.2%
equipment 7853
 
2.1%
be 7821
 
2.1%
or 6341
 
1.7%
Other values (1938) 264587
70.4%
2025-04-14T23:28:52.184235image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
559366
20.4%
e 232691
 
8.5%
i 160477
 
5.9%
n 158548
 
5.8%
a 157517
 
5.8%
t 153692
 
5.6%
s 148095
 
5.4%
o 147101
 
5.4%
r 108852
 
4.0%
d 91849
 
3.4%
Other values (65) 817846
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2736034
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
559366
20.4%
e 232691
 
8.5%
i 160477
 
5.9%
n 158548
 
5.8%
a 157517
 
5.8%
t 153692
 
5.6%
s 148095
 
5.4%
o 147101
 
5.4%
r 108852
 
4.0%
d 91849
 
3.4%
Other values (65) 817846
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2736034
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
559366
20.4%
e 232691
 
8.5%
i 160477
 
5.9%
n 158548
 
5.8%
a 157517
 
5.8%
t 153692
 
5.6%
s 148095
 
5.4%
o 147101
 
5.4%
r 108852
 
4.0%
d 91849
 
3.4%
Other values (65) 817846
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2736034
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
559366
20.4%
e 232691
 
8.5%
i 160477
 
5.9%
n 158548
 
5.8%
a 157517
 
5.8%
t 153692
 
5.6%
s 148095
 
5.4%
o 147101
 
5.4%
r 108852
 
4.0%
d 91849
 
3.4%
Other values (65) 817846
29.9%

Violation Memo - 5
Text

Missing 

Distinct5914
Distinct (%)87.7%
Missing10645
Missing (%)61.2%
Memory size1018.6 KiB
2025-04-14T23:28:52.555351image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1634
Median length179
Mean length46.997035
Min length2

Characters and Unicode

Total characters317042
Distinct characters87
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5539 ?
Unique (%)82.1%

Sample

1st rowBrisket : 131'f
2nd rowprovide thermometers for RIC and RIF
3rd rowNeed to provide last health inspection report available upon request.
4th rowHeimlich maneuver sign SEC. 17-11.2. ADDITIONAL REQUIREMENTS. (a) General. All food establishments that provide dining areas shall post the Heimlich maneuver sign in a place conspicuous to employees and customers. (b) Specifications: The sign shall: (1) be no smaller than 11 inches wide by 17 inches long; (2) be printed in English and Spanish and in at least two conspicuous contrasting colors on a white background; (3) provide major title and figure blocks in contrasting color to remaining copy blocks; (4) provide major headings with a minimum bold 72 point font; (5) provide initial subheadings with a minimum bold italic 60 point font; (6) provide secondary subheadings with a minimum bold 24 point font; and (7) provide a body copy in bold 14 point font.
5th rowprovide tarshcan for paper towels by hand sink
ValueCountFrequency (%)
in 1842
 
3.5%
food 1290
 
2.4%
observed 1051
 
2.0%
on 1026
 
1.9%
clean 991
 
1.9%
and 881
 
1.7%
provide 836
 
1.6%
of 825
 
1.5%
the 769
 
1.4%
not 625
 
1.2%
Other values (3149) 43094
81.0%
2025-04-14T23:28:53.107017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47875
 
15.1%
e 24689
 
7.8%
o 17699
 
5.6%
n 14489
 
4.6%
a 14377
 
4.5%
r 14312
 
4.5%
i 13556
 
4.3%
t 13350
 
4.2%
s 12588
 
4.0%
l 9291
 
2.9%
Other values (77) 134816
42.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 317042
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
47875
 
15.1%
e 24689
 
7.8%
o 17699
 
5.6%
n 14489
 
4.6%
a 14377
 
4.5%
r 14312
 
4.5%
i 13556
 
4.3%
t 13350
 
4.2%
s 12588
 
4.0%
l 9291
 
2.9%
Other values (77) 134816
42.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 317042
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
47875
 
15.1%
e 24689
 
7.8%
o 17699
 
5.6%
n 14489
 
4.6%
a 14377
 
4.5%
r 14312
 
4.5%
i 13556
 
4.3%
t 13350
 
4.2%
s 12588
 
4.0%
l 9291
 
2.9%
Other values (77) 134816
42.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 317042
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
47875
 
15.1%
e 24689
 
7.8%
o 17699
 
5.6%
n 14489
 
4.6%
a 14377
 
4.5%
r 14312
 
4.5%
i 13556
 
4.3%
t 13350
 
4.2%
s 12588
 
4.0%
l 9291
 
2.9%
Other values (77) 134816
42.5%
Distinct321
Distinct (%)5.0%
Missing11031
Missing (%)63.4%
Memory size989.6 KiB
2025-04-14T23:28:53.312136image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length84
Mean length45.365409
Min length12

Characters and Unicode

Total characters288524
Distinct characters80
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)1.4%

Sample

1st row*20 Grease Trap Tickets
2nd row*36 Cloths in-use for wiping between uses stored
3rd row*37 Storing the food where it is not exposed to splash, dust, or other contamination
4th row*29 Sanitizing solutions, testing devices
5th row*14 Gloves single use
ValueCountFrequency (%)
food 1847
 
4.1%
1252
 
2.8%
in 825
 
1.8%
or 667
 
1.5%
42 629
 
1.4%
dirty 600
 
1.3%
of 588
 
1.3%
the 567
 
1.3%
equipment 544
 
1.2%
and 527
 
1.2%
Other values (830) 37300
82.3%
2025-04-14T23:28:53.658571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39695
13.8%
e 23000
 
8.0%
o 21572
 
7.5%
i 18209
 
6.3%
n 17786
 
6.2%
t 16995
 
5.9%
s 15036
 
5.2%
a 14301
 
5.0%
r 13656
 
4.7%
d 10279
 
3.6%
Other values (70) 97995
34.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 288524
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
39695
13.8%
e 23000
 
8.0%
o 21572
 
7.5%
i 18209
 
6.3%
n 17786
 
6.2%
t 16995
 
5.9%
s 15036
 
5.2%
a 14301
 
5.0%
r 13656
 
4.7%
d 10279
 
3.6%
Other values (70) 97995
34.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 288524
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
39695
13.8%
e 23000
 
8.0%
o 21572
 
7.5%
i 18209
 
6.3%
n 17786
 
6.2%
t 16995
 
5.9%
s 15036
 
5.2%
a 14301
 
5.0%
r 13656
 
4.7%
d 10279
 
3.6%
Other values (70) 97995
34.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 288524
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
39695
13.8%
e 23000
 
8.0%
o 21572
 
7.5%
i 18209
 
6.3%
n 17786
 
6.2%
t 16995
 
5.9%
s 15036
 
5.2%
a 14301
 
5.0%
r 13656
 
4.7%
d 10279
 
3.6%
Other values (70) 97995
34.0%

Violation Points - 6
Categorical

High correlation  Missing 

Distinct3
Distinct (%)< 0.1%
Missing11031
Missing (%)63.4%
Memory size1.0 MiB
1.0
3787 
2.0
1585 
3.0
988 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters19080
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row1.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 3787
 
21.8%
2.0 1585
 
9.1%
3.0 988
 
5.7%
(Missing) 11031
63.4%

Length

2025-04-14T23:28:53.761825image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:28:53.830015image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3787
59.5%
2.0 1585
24.9%
3.0 988
 
15.5%

Most occurring characters

ValueCountFrequency (%)
. 6360
33.3%
0 6360
33.3%
1 3787
19.8%
2 1585
 
8.3%
3 988
 
5.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 19080
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 6360
33.3%
0 6360
33.3%
1 3787
19.8%
2 1585
 
8.3%
3 988
 
5.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 19080
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 6360
33.3%
0 6360
33.3%
1 3787
19.8%
2 1585
 
8.3%
3 988
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 19080
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 6360
33.3%
0 6360
33.3%
1 3787
19.8%
2 1585
 
8.3%
3 988
 
5.2%

Violation Detail - 6
Text

Missing 

Distinct326
Distinct (%)5.2%
Missing11155
Missing (%)64.1%
Memory size3.1 MiB
2025-04-14T23:28:54.115713image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1018
Median length680
Mean length353.85985
Min length125

Characters and Unicode

Total characters2206670
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)1.4%

Sample

1st rowCh.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.
2nd row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; and
3rd row228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (B) where it is not exposed to splash, dust, or other contamination; and
4th row228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (e) Sanitizing solutions, testing device. A test kit or other device that accurately measures the concentration in mg/L of sanitizing solutions shall be provided.
5th row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (e) Gloves, use limitation. (1) If used, single-use gloves shall be used for only one task such as working with ready-to-eat food or with raw animal food, used for no other purpose, and discarded when damaged or soiled, or when interruptions occur in the operation.
ValueCountFrequency (%)
and 16713
 
5.5%
food 12481
 
4.1%
of 10840
 
3.6%
the 9891
 
3.3%
a 8216
 
2.7%
shall 6991
 
2.3%
in 6618
 
2.2%
equipment 6384
 
2.1%
be 6335
 
2.1%
or 5081
 
1.7%
Other values (1887) 213598
70.5%
2025-04-14T23:28:54.563432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
452329
20.5%
e 186856
 
8.5%
i 129808
 
5.9%
n 128533
 
5.8%
a 126393
 
5.7%
t 123938
 
5.6%
s 119556
 
5.4%
o 119367
 
5.4%
r 87320
 
4.0%
d 73970
 
3.4%
Other values (62) 658600
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2206670
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
452329
20.5%
e 186856
 
8.5%
i 129808
 
5.9%
n 128533
 
5.8%
a 126393
 
5.7%
t 123938
 
5.6%
s 119556
 
5.4%
o 119367
 
5.4%
r 87320
 
4.0%
d 73970
 
3.4%
Other values (62) 658600
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2206670
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
452329
20.5%
e 186856
 
8.5%
i 129808
 
5.9%
n 128533
 
5.8%
a 126393
 
5.7%
t 123938
 
5.6%
s 119556
 
5.4%
o 119367
 
5.4%
r 87320
 
4.0%
d 73970
 
3.4%
Other values (62) 658600
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2206670
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
452329
20.5%
e 186856
 
8.5%
i 129808
 
5.9%
n 128533
 
5.8%
a 126393
 
5.7%
t 123938
 
5.6%
s 119556
 
5.4%
o 119367
 
5.4%
r 87320
 
4.0%
d 73970
 
3.4%
Other values (62) 658600
29.8%

Violation Memo - 6
Text

Missing 

Distinct4821
Distinct (%)88.3%
Missing11932
Missing (%)68.6%
Memory size927.9 KiB
2025-04-14T23:28:54.951300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length845
Median length191
Mean length46.928742
Min length2

Characters and Unicode

Total characters256184
Distinct characters89
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4534 ?
Unique (%)83.1%

Sample

1st rowprovide grease trap ticket
2nd rowprovide sanitizer test strips
3rd rowprovide label for food storage containers/common name of food products
4th rowrepair loose frp walls and falling ceiling tile
5th rowsweat tea container left uncovered.
ValueCountFrequency (%)
in 1480
 
3.4%
food 1090
 
2.5%
observed 904
 
2.1%
clean 875
 
2.0%
on 848
 
2.0%
and 744
 
1.7%
provide 672
 
1.6%
the 646
 
1.5%
of 628
 
1.5%
at 505
 
1.2%
Other values (2885) 34655
80.5%
2025-04-14T23:28:55.493693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38373
 
15.0%
e 20106
 
7.8%
o 14384
 
5.6%
r 11726
 
4.6%
n 11714
 
4.6%
a 11467
 
4.5%
i 10833
 
4.2%
t 10819
 
4.2%
s 10257
 
4.0%
d 7687
 
3.0%
Other values (79) 108818
42.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 256184
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
38373
 
15.0%
e 20106
 
7.8%
o 14384
 
5.6%
r 11726
 
4.6%
n 11714
 
4.6%
a 11467
 
4.5%
i 10833
 
4.2%
t 10819
 
4.2%
s 10257
 
4.0%
d 7687
 
3.0%
Other values (79) 108818
42.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 256184
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
38373
 
15.0%
e 20106
 
7.8%
o 14384
 
5.6%
r 11726
 
4.6%
n 11714
 
4.6%
a 11467
 
4.5%
i 10833
 
4.2%
t 10819
 
4.2%
s 10257
 
4.0%
d 7687
 
3.0%
Other values (79) 108818
42.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 256184
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
38373
 
15.0%
e 20106
 
7.8%
o 14384
 
5.6%
r 11726
 
4.6%
n 11714
 
4.6%
a 11467
 
4.5%
i 10833
 
4.2%
t 10819
 
4.2%
s 10257
 
4.0%
d 7687
 
3.0%
Other values (79) 108818
42.5%
Distinct306
Distinct (%)6.1%
Missing12380
Missing (%)71.2%
Memory size894.8 KiB
2025-04-14T23:28:55.698089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length83
Mean length45.133506
Min length12

Characters and Unicode

Total characters226164
Distinct characters80
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)1.7%

Sample

1st row*42 Floors/walls/ceiling/nonfood dirty
2nd row*10 Clean Sight and Touch
3rd row*39 Store equipment & utensils in a clean, dry place
4th row*45 Lockers to be used to store personal items
5th row*47 Conditions of Permit-in use of food equipment
ValueCountFrequency (%)
food 1392
 
3.9%
960
 
2.7%
in 651
 
1.8%
or 555
 
1.6%
42 480
 
1.3%
of 469
 
1.3%
the 468
 
1.3%
dirty 444
 
1.2%
45 422
 
1.2%
for 401
 
1.1%
Other values (779) 29539
82.6%
2025-04-14T23:28:56.056094image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31325
13.9%
e 18152
 
8.0%
o 16740
 
7.4%
i 14286
 
6.3%
n 13932
 
6.2%
t 13264
 
5.9%
s 11861
 
5.2%
a 11303
 
5.0%
r 10687
 
4.7%
d 7877
 
3.5%
Other values (70) 76737
33.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 226164
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
31325
13.9%
e 18152
 
8.0%
o 16740
 
7.4%
i 14286
 
6.3%
n 13932
 
6.2%
t 13264
 
5.9%
s 11861
 
5.2%
a 11303
 
5.0%
r 10687
 
4.7%
d 7877
 
3.5%
Other values (70) 76737
33.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 226164
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
31325
13.9%
e 18152
 
8.0%
o 16740
 
7.4%
i 14286
 
6.3%
n 13932
 
6.2%
t 13264
 
5.9%
s 11861
 
5.2%
a 11303
 
5.0%
r 10687
 
4.7%
d 7877
 
3.5%
Other values (70) 76737
33.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 226164
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
31325
13.9%
e 18152
 
8.0%
o 16740
 
7.4%
i 14286
 
6.3%
n 13932
 
6.2%
t 13264
 
5.9%
s 11861
 
5.2%
a 11303
 
5.0%
r 10687
 
4.7%
d 7877
 
3.5%
Other values (70) 76737
33.9%

Violation Points - 7
Categorical

High correlation  Missing 

Distinct3
Distinct (%)0.1%
Missing12380
Missing (%)71.2%
Memory size1.0 MiB
1.0
3058 
2.0
1110 
3.0
843 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters15033
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 3058
 
17.6%
2.0 1110
 
6.4%
3.0 843
 
4.8%
(Missing) 12380
71.2%

Length

2025-04-14T23:28:56.160548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:28:56.225509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3058
61.0%
2.0 1110
 
22.2%
3.0 843
 
16.8%

Most occurring characters

ValueCountFrequency (%)
. 5011
33.3%
0 5011
33.3%
1 3058
20.3%
2 1110
 
7.4%
3 843
 
5.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 15033
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 5011
33.3%
0 5011
33.3%
1 3058
20.3%
2 1110
 
7.4%
3 843
 
5.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 15033
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 5011
33.3%
0 5011
33.3%
1 3058
20.3%
2 1110
 
7.4%
3 843
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 15033
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 5011
33.3%
0 5011
33.3%
1 3058
20.3%
2 1110
 
7.4%
3 843
 
5.6%

Violation Detail - 7
Text

Missing 

Distinct311
Distinct (%)6.4%
Missing12504
Missing (%)71.9%
Memory size2.6 MiB
2025-04-14T23:28:56.547332image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length910
Median length672
Mean length352.31819
Min length125

Characters and Unicode

Total characters1721779
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)1.8%

Sample

1st row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
2nd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
3rd row228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (1) Except as specified in paragraph (4) of this subsection, cleaned equipment and utensils, laundered linens, and single-service and single-use articles shall be stored: (A) in a clean, dry location;
4th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (j) Using dressing rooms and lockers. (2) Lockers or other suitable facilities shall be used for the orderly storage of employee clothing and other possessions.
5th row228.248 Compliance Conditions of retention, responsibilities of the permit holder. Upon acceptance of the permit issued by the regulatory authority, the permit holder in order to retain the permit shall: (11) Notify customers that a copy of the most recent establishment inspection report is available upon request by posting a sign or placard in a location in the food establishment that is conspicuous to customers or by another method acceptable to the regulatory authority.
ValueCountFrequency (%)
and 13049
 
5.5%
food 9459
 
4.0%
of 8216
 
3.5%
the 7746
 
3.3%
a 6292
 
2.7%
shall 5515
 
2.3%
in 5123
 
2.2%
equipment 5087
 
2.2%
be 4920
 
2.1%
or 4045
 
1.7%
Other values (1802) 166748
70.6%
2025-04-14T23:28:57.074393image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
352772
20.5%
e 146423
 
8.5%
i 101617
 
5.9%
n 101164
 
5.9%
a 98685
 
5.7%
t 96349
 
5.6%
s 93890
 
5.5%
o 92575
 
5.4%
r 68263
 
4.0%
d 57032
 
3.3%
Other values (62) 513009
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1721779
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
352772
20.5%
e 146423
 
8.5%
i 101617
 
5.9%
n 101164
 
5.9%
a 98685
 
5.7%
t 96349
 
5.6%
s 93890
 
5.5%
o 92575
 
5.4%
r 68263
 
4.0%
d 57032
 
3.3%
Other values (62) 513009
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1721779
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
352772
20.5%
e 146423
 
8.5%
i 101617
 
5.9%
n 101164
 
5.9%
a 98685
 
5.7%
t 96349
 
5.6%
s 93890
 
5.5%
o 92575
 
5.4%
r 68263
 
4.0%
d 57032
 
3.3%
Other values (62) 513009
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1721779
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
352772
20.5%
e 146423
 
8.5%
i 101617
 
5.9%
n 101164
 
5.9%
a 98685
 
5.7%
t 96349
 
5.6%
s 93890
 
5.5%
o 92575
 
5.4%
r 68263
 
4.0%
d 57032
 
3.3%
Other values (62) 513009
29.8%

Violation Memo - 7
Text

Missing 

Distinct3808
Distinct (%)88.2%
Missing13074
Missing (%)75.2%
Memory size850.2 KiB
2025-04-14T23:28:57.369050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1837
Median length168
Mean length47.645124
Min length2

Characters and Unicode

Total characters205684
Distinct characters87
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3596 ?
Unique (%)83.3%

Sample

1st rowCLEAN TOP OF EQUIPMENTS AND STORAGE RACKS
2nd rowClean surfaces in contact with clean plates
3rd rowice scoop
4th rowprovide sign about inspection report
5th rowpost
ValueCountFrequency (%)
in 1161
 
3.4%
food 847
 
2.5%
clean 676
 
2.0%
observed 668
 
2.0%
on 643
 
1.9%
and 568
 
1.7%
provide 543
 
1.6%
of 473
 
1.4%
the 461
 
1.3%
at 428
 
1.3%
Other values (2522) 27753
81.1%
2025-04-14T23:28:57.884549image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31508
 
15.3%
e 15709
 
7.6%
o 11528
 
5.6%
n 9454
 
4.6%
a 9247
 
4.5%
r 9105
 
4.4%
i 8619
 
4.2%
t 8564
 
4.2%
s 8423
 
4.1%
l 6095
 
3.0%
Other values (77) 87432
42.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 205684
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
31508
 
15.3%
e 15709
 
7.6%
o 11528
 
5.6%
n 9454
 
4.6%
a 9247
 
4.5%
r 9105
 
4.4%
i 8619
 
4.2%
t 8564
 
4.2%
s 8423
 
4.1%
l 6095
 
3.0%
Other values (77) 87432
42.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 205684
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
31508
 
15.3%
e 15709
 
7.6%
o 11528
 
5.6%
n 9454
 
4.6%
a 9247
 
4.5%
r 9105
 
4.4%
i 8619
 
4.2%
t 8564
 
4.2%
s 8423
 
4.1%
l 6095
 
3.0%
Other values (77) 87432
42.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 205684
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
31508
 
15.3%
e 15709
 
7.6%
o 11528
 
5.6%
n 9454
 
4.6%
a 9247
 
4.5%
r 9105
 
4.4%
i 8619
 
4.2%
t 8564
 
4.2%
s 8423
 
4.1%
l 6095
 
3.0%
Other values (77) 87432
42.5%
Distinct269
Distinct (%)6.9%
Missing13499
Missing (%)77.6%
Memory size816.5 KiB
2025-04-14T23:28:58.164139image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length83
Mean length45.110483
Min length12

Characters and Unicode

Total characters175570
Distinct characters79
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)2.0%

Sample

1st row*45 Drying Mops-air dry
2nd row*35 Eating food, chewing gum, drinking beverages, or using tobacco
3rd row*36 Cloths in-use for wiping between uses stored
4th row*42 Dirty nonfood contact surfaces
5th row*41 Food storage containers, identified with common name of food.
ValueCountFrequency (%)
food 1119
 
4.0%
736
 
2.7%
in 537
 
1.9%
42 421
 
1.5%
or 409
 
1.5%
dirty 402
 
1.5%
of 385
 
1.4%
the 351
 
1.3%
good 335
 
1.2%
47 329
 
1.2%
Other values (711) 22636
81.8%
2025-04-14T23:28:58.634158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24222
13.8%
e 13946
 
7.9%
o 13221
 
7.5%
i 11035
 
6.3%
n 10971
 
6.2%
t 10284
 
5.9%
s 9146
 
5.2%
a 8781
 
5.0%
r 8313
 
4.7%
d 6160
 
3.5%
Other values (69) 59491
33.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 175570
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
24222
13.8%
e 13946
 
7.9%
o 13221
 
7.5%
i 11035
 
6.3%
n 10971
 
6.2%
t 10284
 
5.9%
s 9146
 
5.2%
a 8781
 
5.0%
r 8313
 
4.7%
d 6160
 
3.5%
Other values (69) 59491
33.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 175570
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
24222
13.8%
e 13946
 
7.9%
o 13221
 
7.5%
i 11035
 
6.3%
n 10971
 
6.2%
t 10284
 
5.9%
s 9146
 
5.2%
a 8781
 
5.0%
r 8313
 
4.7%
d 6160
 
3.5%
Other values (69) 59491
33.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 175570
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
24222
13.8%
e 13946
 
7.9%
o 13221
 
7.5%
i 11035
 
6.3%
n 10971
 
6.2%
t 10284
 
5.9%
s 9146
 
5.2%
a 8781
 
5.0%
r 8313
 
4.7%
d 6160
 
3.5%
Other values (69) 59491
33.9%

Violation Points - 8
Categorical

High correlation  Missing 

Distinct3
Distinct (%)0.1%
Missing13499
Missing (%)77.6%
Memory size1.0 MiB
1.0
2428 
2.0
844 
3.0
620 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters11676
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 2428
 
14.0%
2.0 844
 
4.9%
3.0 620
 
3.6%
(Missing) 13499
77.6%

Length

2025-04-14T23:28:58.780365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:28:58.868344image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2428
62.4%
2.0 844
 
21.7%
3.0 620
 
15.9%

Most occurring characters

ValueCountFrequency (%)
. 3892
33.3%
0 3892
33.3%
1 2428
20.8%
2 844
 
7.2%
3 620
 
5.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 11676
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 3892
33.3%
0 3892
33.3%
1 2428
20.8%
2 844
 
7.2%
3 620
 
5.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 11676
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 3892
33.3%
0 3892
33.3%
1 2428
20.8%
2 844
 
7.2%
3 620
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 11676
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 3892
33.3%
0 3892
33.3%
1 2428
20.8%
2 844
 
7.2%
3 620
 
5.3%

Violation Detail - 8
Text

Missing 

Distinct272
Distinct (%)7.2%
Missing13599
Missing (%)78.2%
Memory size2.1 MiB
2025-04-14T23:28:59.241521image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length910
Median length666
Mean length349.44989
Min length125

Characters and Unicode

Total characters1325114
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)2.1%

Sample

1st row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (f) Drying mops. After use, mops shall be placed in a position that allows them to air-dry without soiling walls, equipment, or supplies.
2nd row228.42 Management and Personnel. Food Contamination Prevention (a) Eating, drinking, or using tobacco. (1) except as specified in paragraph (2) of this subsection, an employee shall eat, drink, or use any form of tobacco only in designated areas where the contamination of exposed food; clean equipment, utensils, and linens; unwrapped single-service and single-use articles; or other items needing protection cannot result.
3rd row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; and
4th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
5th row228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.
ValueCountFrequency (%)
and 9998
 
5.5%
food 7751
 
4.3%
of 6568
 
3.6%
the 5847
 
3.2%
a 4887
 
2.7%
shall 4241
 
2.3%
in 4031
 
2.2%
be 3858
 
2.1%
equipment 3795
 
2.1%
or 2983
 
1.6%
Other values (1621) 128078
70.4%
2025-04-14T23:28:59.938602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
270848
20.4%
e 112150
 
8.5%
i 78474
 
5.9%
n 77393
 
5.8%
a 75722
 
5.7%
t 74139
 
5.6%
o 72016
 
5.4%
s 71848
 
5.4%
r 52201
 
3.9%
d 44058
 
3.3%
Other values (62) 396265
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1325114
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
270848
20.4%
e 112150
 
8.5%
i 78474
 
5.9%
n 77393
 
5.8%
a 75722
 
5.7%
t 74139
 
5.6%
o 72016
 
5.4%
s 71848
 
5.4%
r 52201
 
3.9%
d 44058
 
3.3%
Other values (62) 396265
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1325114
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
270848
20.4%
e 112150
 
8.5%
i 78474
 
5.9%
n 77393
 
5.8%
a 75722
 
5.7%
t 74139
 
5.6%
o 72016
 
5.4%
s 71848
 
5.4%
r 52201
 
3.9%
d 44058
 
3.3%
Other values (62) 396265
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1325114
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
270848
20.4%
e 112150
 
8.5%
i 78474
 
5.9%
n 77393
 
5.8%
a 75722
 
5.7%
t 74139
 
5.6%
o 72016
 
5.4%
s 71848
 
5.4%
r 52201
 
3.9%
d 44058
 
3.3%
Other values (62) 396265
29.9%

Violation Memo - 8
Text

Missing 

Distinct2972
Distinct (%)88.1%
Missing14019
Missing (%)80.6%
Memory size782.2 KiB
2025-04-14T23:29:00.432663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1516
Median length165
Mean length47.347568
Min length3

Characters and Unicode

Total characters159656
Distinct characters86
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2801 ?
Unique (%)83.1%

Sample

1st rowpersonal food separate from kids food
2nd rowclean coolers inside, shelves, gaskets, clean pipe under 3 com sink
3rd rowLABEL SQUEEZE BOTTLE THAT HAVE OIL/BUTTER.
4th rowprovide sign about inspection report
5th rowBLOCK WITH RACKS
ValueCountFrequency (%)
in 904
 
3.4%
food 660
 
2.5%
clean 584
 
2.2%
observed 532
 
2.0%
on 458
 
1.7%
and 455
 
1.7%
provide 418
 
1.6%
of 353
 
1.3%
the 352
 
1.3%
all 346
 
1.3%
Other values (2261) 21463
80.9%
2025-04-14T23:29:01.435205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24025
 
15.0%
e 12356
 
7.7%
o 8784
 
5.5%
n 7328
 
4.6%
a 7262
 
4.5%
r 7029
 
4.4%
i 6698
 
4.2%
s 6659
 
4.2%
t 6541
 
4.1%
l 4828
 
3.0%
Other values (76) 68146
42.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 159656
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
24025
 
15.0%
e 12356
 
7.7%
o 8784
 
5.5%
n 7328
 
4.6%
a 7262
 
4.5%
r 7029
 
4.4%
i 6698
 
4.2%
s 6659
 
4.2%
t 6541
 
4.1%
l 4828
 
3.0%
Other values (76) 68146
42.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 159656
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
24025
 
15.0%
e 12356
 
7.7%
o 8784
 
5.5%
n 7328
 
4.6%
a 7262
 
4.5%
r 7029
 
4.4%
i 6698
 
4.2%
s 6659
 
4.2%
t 6541
 
4.1%
l 4828
 
3.0%
Other values (76) 68146
42.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 159656
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
24025
 
15.0%
e 12356
 
7.7%
o 8784
 
5.5%
n 7328
 
4.6%
a 7262
 
4.5%
r 7029
 
4.4%
i 6698
 
4.2%
s 6659
 
4.2%
t 6541
 
4.1%
l 4828
 
3.0%
Other values (76) 68146
42.7%
Distinct240
Distinct (%)8.2%
Missing14452
Missing (%)83.1%
Memory size748.1 KiB
2025-04-14T23:29:01.749203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length83
Mean length44.603947
Min length13

Characters and Unicode

Total characters131091
Distinct characters78
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)2.7%

Sample

1st row*35 Eating food, chewing gum, drinking beverages, or using tobacco
2nd row*29 Sanitizing solutions, testing devices
3rd row*42 Floors/walls/ceiling/nonfood dirty
4th row*39 Keep utensils handles upright or protected
5th row*44 Trash can provided for papertowel waste
ValueCountFrequency (%)
food 838
 
4.1%
546
 
2.7%
in 394
 
1.9%
42 296
 
1.4%
or 296
 
1.4%
of 287
 
1.4%
dirty 279
 
1.4%
45 259
 
1.3%
good 254
 
1.2%
repair 247
 
1.2%
Other values (662) 16838
82.0%
2025-04-14T23:29:02.204462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17944
13.7%
e 10479
 
8.0%
o 9789
 
7.5%
i 8364
 
6.4%
n 7992
 
6.1%
t 7677
 
5.9%
s 6830
 
5.2%
a 6578
 
5.0%
r 6172
 
4.7%
d 4715
 
3.6%
Other values (68) 44551
34.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 131091
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
17944
13.7%
e 10479
 
8.0%
o 9789
 
7.5%
i 8364
 
6.4%
n 7992
 
6.1%
t 7677
 
5.9%
s 6830
 
5.2%
a 6578
 
5.0%
r 6172
 
4.7%
d 4715
 
3.6%
Other values (68) 44551
34.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 131091
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
17944
13.7%
e 10479
 
8.0%
o 9789
 
7.5%
i 8364
 
6.4%
n 7992
 
6.1%
t 7677
 
5.9%
s 6830
 
5.2%
a 6578
 
5.0%
r 6172
 
4.7%
d 4715
 
3.6%
Other values (68) 44551
34.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 131091
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
17944
13.7%
e 10479
 
8.0%
o 9789
 
7.5%
i 8364
 
6.4%
n 7992
 
6.1%
t 7677
 
5.9%
s 6830
 
5.2%
a 6578
 
5.0%
r 6172
 
4.7%
d 4715
 
3.6%
Other values (68) 44551
34.0%

Violation Points - 9
Categorical

Missing 

Distinct4
Distinct (%)0.1%
Missing14452
Missing (%)83.1%
Memory size1.1 MiB
1.0
1824 
2.0
645 
3.0
469 
4.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters8817
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 1824
 
10.5%
2.0 645
 
3.7%
3.0 469
 
2.7%
4.0 1
 
< 0.1%
(Missing) 14452
83.1%

Length

2025-04-14T23:29:02.326182image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:29:02.404197image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1824
62.1%
2.0 645
 
21.9%
3.0 469
 
16.0%
4.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 2939
33.3%
0 2939
33.3%
1 1824
20.7%
2 645
 
7.3%
3 469
 
5.3%
4 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 8817
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 2939
33.3%
0 2939
33.3%
1 1824
20.7%
2 645
 
7.3%
3 469
 
5.3%
4 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 8817
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 2939
33.3%
0 2939
33.3%
1 1824
20.7%
2 645
 
7.3%
3 469
 
5.3%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 8817
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 2939
33.3%
0 2939
33.3%
1 1824
20.7%
2 645
 
7.3%
3 469
 
5.3%
4 1
 
< 0.1%

Violation Detail - 9
Text

Missing 

Distinct242
Distinct (%)8.4%
Missing14524
Missing (%)83.5%
Memory size1.7 MiB
2025-04-14T23:29:02.734962image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length910
Median length591
Mean length347.82107
Min length125

Characters and Unicode

Total characters997203
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)2.7%

Sample

1st row228.42 Management and Personnel. Food Contamination Prevention (a) Eating, drinking, or using tobacco. (1) except as specified in paragraph (2) of this subsection, an employee shall eat, drink, or use any form of tobacco only in designated areas where the contamination of exposed food; clean equipment, utensils, and linens; unwrapped single-service and single-use articles; or other items needing protection cannot result.
2nd row228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (e) Sanitizing solutions, testing device. A test kit or other device that accurately measures the concentration in mg/L of sanitizing solutions shall be provided.
3rd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
4th row228.125 Preventing Contamination. (a) Kitchenware and tableware. (2) Knives, forks, and spoons that are not prewrapped shall be presented so that only the handles are touched by employees and by consumers if consumer self-service is provided.
5th row228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (g) Storage areas, rooms, and receptacles, capacity and availability. (3) If disposable towels are used at handwashing lavatories, a waste receptacle shall be located at each lavatory or group of adjacent lavatories.
ValueCountFrequency (%)
and 7580
 
5.6%
food 5715
 
4.2%
of 4746
 
3.5%
the 4385
 
3.2%
a 3532
 
2.6%
shall 3160
 
2.3%
equipment 2879
 
2.1%
in 2874
 
2.1%
be 2867
 
2.1%
or 2290
 
1.7%
Other values (1563) 96471
70.7%
2025-04-14T23:29:03.252190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
202967
20.4%
e 84863
 
8.5%
i 59487
 
6.0%
n 58368
 
5.9%
a 57161
 
5.7%
t 55464
 
5.6%
s 54718
 
5.5%
o 53704
 
5.4%
r 39524
 
4.0%
d 33261
 
3.3%
Other values (62) 297686
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 997203
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
202967
20.4%
e 84863
 
8.5%
i 59487
 
6.0%
n 58368
 
5.9%
a 57161
 
5.7%
t 55464
 
5.6%
s 54718
 
5.5%
o 53704
 
5.4%
r 39524
 
4.0%
d 33261
 
3.3%
Other values (62) 297686
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 997203
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
202967
20.4%
e 84863
 
8.5%
i 59487
 
6.0%
n 58368
 
5.9%
a 57161
 
5.7%
t 55464
 
5.6%
s 54718
 
5.5%
o 53704
 
5.4%
r 39524
 
4.0%
d 33261
 
3.3%
Other values (62) 297686
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 997203
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
202967
20.4%
e 84863
 
8.5%
i 59487
 
6.0%
n 58368
 
5.9%
a 57161
 
5.7%
t 55464
 
5.6%
s 54718
 
5.5%
o 53704
 
5.4%
r 39524
 
4.0%
d 33261
 
3.3%
Other values (62) 297686
29.9%

Violation Memo - 9
Text

Missing 

Distinct2284
Distinct (%)89.3%
Missing14833
Missing (%)85.3%
Memory size723.1 KiB
2025-04-14T23:29:03.617628image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1517
Median length149
Mean length46.80688
Min length3

Characters and Unicode

Total characters119732
Distinct characters83
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2168 ?
Unique (%)84.8%

Sample

1st rowpersona water bottle (open) sit on shelve in reach in cooler
2nd rowsanitizer test strips
3rd rowCLEAN FLOORS & DRAINS
4th rowObserved utensils laying inside krisp it, handle must be upright not touching food
5th rowobserved spray bottle without label. label.
ValueCountFrequency (%)
in 659
 
3.3%
food 568
 
2.9%
clean 432
 
2.2%
observed 378
 
1.9%
and 338
 
1.7%
provide 327
 
1.6%
on 311
 
1.6%
of 262
 
1.3%
the 257
 
1.3%
all 244
 
1.2%
Other values (1977) 16095
81.0%
2025-04-14T23:29:04.129219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17824
 
14.9%
e 9387
 
7.8%
o 6819
 
5.7%
a 5463
 
4.6%
r 5454
 
4.6%
n 5417
 
4.5%
s 5026
 
4.2%
i 5010
 
4.2%
t 4910
 
4.1%
l 3686
 
3.1%
Other values (73) 50736
42.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 119732
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
17824
 
14.9%
e 9387
 
7.8%
o 6819
 
5.7%
a 5463
 
4.6%
r 5454
 
4.6%
n 5417
 
4.5%
s 5026
 
4.2%
i 5010
 
4.2%
t 4910
 
4.1%
l 3686
 
3.1%
Other values (73) 50736
42.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 119732
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
17824
 
14.9%
e 9387
 
7.8%
o 6819
 
5.7%
a 5463
 
4.6%
r 5454
 
4.6%
n 5417
 
4.5%
s 5026
 
4.2%
i 5010
 
4.2%
t 4910
 
4.1%
l 3686
 
3.1%
Other values (73) 50736
42.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 119732
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
17824
 
14.9%
e 9387
 
7.8%
o 6819
 
5.7%
a 5463
 
4.6%
r 5454
 
4.6%
n 5417
 
4.5%
s 5026
 
4.2%
i 5010
 
4.2%
t 4910
 
4.1%
l 3686
 
3.1%
Other values (73) 50736
42.4%
Distinct234
Distinct (%)10.8%
Missing15231
Missing (%)87.6%
Memory size693.7 KiB
2025-04-14T23:29:04.483710image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length80
Mean length44.351852
Min length12

Characters and Unicode

Total characters95800
Distinct characters79
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)3.9%

Sample

1st row*34 Pest control-routine inspections for
2nd row*45 Drying Mops-air dry
3rd row*34 Pest Control
4th row*47 Conditions of Permit-in use of food equipment
5th row*44 Water, Plumbing, and Waste Sewage
ValueCountFrequency (%)
food 589
 
3.9%
413
 
2.7%
in 296
 
2.0%
42 210
 
1.4%
or 209
 
1.4%
dirty 204
 
1.4%
of 203
 
1.3%
47 195
 
1.3%
good 182
 
1.2%
repair 176
 
1.2%
Other values (649) 12407
82.3%
2025-04-14T23:29:04.974364image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13188
13.8%
e 7744
 
8.1%
o 6999
 
7.3%
i 6096
 
6.4%
n 5792
 
6.0%
t 5560
 
5.8%
s 5095
 
5.3%
a 4777
 
5.0%
r 4467
 
4.7%
d 3404
 
3.6%
Other values (69) 32678
34.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 95800
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
13188
13.8%
e 7744
 
8.1%
o 6999
 
7.3%
i 6096
 
6.4%
n 5792
 
6.0%
t 5560
 
5.8%
s 5095
 
5.3%
a 4777
 
5.0%
r 4467
 
4.7%
d 3404
 
3.6%
Other values (69) 32678
34.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 95800
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
13188
13.8%
e 7744
 
8.1%
o 6999
 
7.3%
i 6096
 
6.4%
n 5792
 
6.0%
t 5560
 
5.8%
s 5095
 
5.3%
a 4777
 
5.0%
r 4467
 
4.7%
d 3404
 
3.6%
Other values (69) 32678
34.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 95800
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
13188
13.8%
e 7744
 
8.1%
o 6999
 
7.3%
i 6096
 
6.4%
n 5792
 
6.0%
t 5560
 
5.8%
s 5095
 
5.3%
a 4777
 
5.0%
r 4467
 
4.7%
d 3404
 
3.6%
Other values (69) 32678
34.1%

Violation Points - 10
Categorical

High correlation  Missing 

Distinct3
Distinct (%)0.1%
Missing15231
Missing (%)87.6%
Memory size1.1 MiB
1.0
1305 
2.0
498 
3.0
357 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters6480
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 1305
 
7.5%
2.0 498
 
2.9%
3.0 357
 
2.1%
(Missing) 15231
87.6%

Length

2025-04-14T23:29:05.080796image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:29:05.145694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1305
60.4%
2.0 498
 
23.1%
3.0 357
 
16.5%

Most occurring characters

ValueCountFrequency (%)
. 2160
33.3%
0 2160
33.3%
1 1305
20.1%
2 498
 
7.7%
3 357
 
5.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6480
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 2160
33.3%
0 2160
33.3%
1 1305
20.1%
2 498
 
7.7%
3 357
 
5.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6480
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 2160
33.3%
0 2160
33.3%
1 1305
20.1%
2 498
 
7.7%
3 357
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6480
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 2160
33.3%
0 2160
33.3%
1 1305
20.1%
2 498
 
7.7%
3 357
 
5.5%

Violation Detail - 10
Text

Missing 

Distinct239
Distinct (%)11.4%
Missing15287
Missing (%)87.9%
Memory size1.4 MiB
2025-04-14T23:29:05.418951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length910
Median length639
Mean length352.65684
Min length125

Characters and Unicode

Total characters741990
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)4.1%

Sample

1st row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to minimize their presence within the physical facility and its contents, and on the contiguous land or property under the control of the permit holder by: (2) routinely inspecting the premises for evidence of pests;
2nd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (f) Drying mops. After use, mops shall be placed in a position that allows them to air-dry without soiling walls, equipment, or supplies.
3rd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to minimize their presence within the physical facility and its contents, and on the contiguous land or property under the control of the permit holder by: (1) Routinely inspecting incoming shipments of food and supplies;
4th row228.248 Compliance Conditions of retention, responsibilities of the permit holder. Upon acceptance of the permit issued by the regulatory authority, the permit holder in order to retain the permit shall: (11) Notify customers that a copy of the most recent establishment inspection report is available upon request by posting a sign or placard in a location in the food establishment that is conspicuous to customers or by another method acceptable to the regulatory authority.
5th row228.150 Water, Plumbing, and Waste. Sewage retention, drainage, and delivery. (b) Food establishment drainage systems, including grease traps, that convey sewage shall be designed and installed as specified in õ228.146(a)(1) of this title.
ValueCountFrequency (%)
and 5581
 
5.5%
food 4185
 
4.1%
of 3510
 
3.4%
the 3364
 
3.3%
a 2798
 
2.7%
shall 2358
 
2.3%
in 2221
 
2.2%
be 2128
 
2.1%
equipment 2054
 
2.0%
or 1706
 
1.7%
Other values (1521) 72189
70.7%
2025-04-14T23:29:05.876583image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
151310
20.4%
e 63260
 
8.5%
i 44268
 
6.0%
a 42957
 
5.8%
n 42885
 
5.8%
t 41468
 
5.6%
s 40341
 
5.4%
o 39539
 
5.3%
r 29462
 
4.0%
d 24806
 
3.3%
Other values (62) 221694
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 741990
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
151310
20.4%
e 63260
 
8.5%
i 44268
 
6.0%
a 42957
 
5.8%
n 42885
 
5.8%
t 41468
 
5.6%
s 40341
 
5.4%
o 39539
 
5.3%
r 29462
 
4.0%
d 24806
 
3.3%
Other values (62) 221694
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 741990
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
151310
20.4%
e 63260
 
8.5%
i 44268
 
6.0%
a 42957
 
5.8%
n 42885
 
5.8%
t 41468
 
5.6%
s 40341
 
5.4%
o 39539
 
5.3%
r 29462
 
4.0%
d 24806
 
3.3%
Other values (62) 221694
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 741990
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
151310
20.4%
e 63260
 
8.5%
i 44268
 
6.0%
a 42957
 
5.8%
n 42885
 
5.8%
t 41468
 
5.6%
s 40341
 
5.4%
o 39539
 
5.3%
r 29462
 
4.0%
d 24806
 
3.3%
Other values (62) 221694
29.9%

Violation Memo - 10
Text

Missing 

Distinct1673
Distinct (%)88.6%
Missing15503
Missing (%)89.1%
Memory size679.9 KiB
2025-04-14T23:29:06.232859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1372
Median length147
Mean length48.787076
Min length3

Characters and Unicode

Total characters92110
Distinct characters81
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1589 ?
Unique (%)84.2%

Sample

1st rowobserved flies
2nd rowMOP AIR DRY
3rd rowObserved gnats flying around near mop sink
4th rowconsumer health sign was observed flipped and not visible to customers, must be easily visible to customers.
5th rowTOILET NO FLUSHING
ValueCountFrequency (%)
in 480
 
3.2%
food 382
 
2.5%
clean 317
 
2.1%
provide 274
 
1.8%
and 272
 
1.8%
observed 253
 
1.7%
on 249
 
1.6%
sink 196
 
1.3%
at 186
 
1.2%
of 181
 
1.2%
Other values (1672) 12403
81.6%
2025-04-14T23:29:06.768224image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13877
 
15.1%
e 7087
 
7.7%
o 5100
 
5.5%
a 4258
 
4.6%
n 4199
 
4.6%
r 4171
 
4.5%
i 3920
 
4.3%
s 3903
 
4.2%
t 3785
 
4.1%
l 2819
 
3.1%
Other values (71) 38991
42.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 92110
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
13877
 
15.1%
e 7087
 
7.7%
o 5100
 
5.5%
a 4258
 
4.6%
n 4199
 
4.6%
r 4171
 
4.5%
i 3920
 
4.3%
s 3903
 
4.2%
t 3785
 
4.1%
l 2819
 
3.1%
Other values (71) 38991
42.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 92110
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
13877
 
15.1%
e 7087
 
7.7%
o 5100
 
5.5%
a 4258
 
4.6%
n 4199
 
4.6%
r 4171
 
4.5%
i 3920
 
4.3%
s 3903
 
4.2%
t 3785
 
4.1%
l 2819
 
3.1%
Other values (71) 38991
42.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 92110
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
13877
 
15.1%
e 7087
 
7.7%
o 5100
 
5.5%
a 4258
 
4.6%
n 4199
 
4.6%
r 4171
 
4.5%
i 3920
 
4.3%
s 3903
 
4.2%
t 3785
 
4.1%
l 2819
 
3.1%
Other values (71) 38991
42.3%
Distinct206
Distinct (%)14.0%
Missing15923
Missing (%)91.6%
Memory size646.6 KiB
2025-04-14T23:29:07.001895image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length84
Mean length45.078338
Min length12

Characters and Unicode

Total characters66175
Distinct characters76
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)5.2%

Sample

1st row*46 Covered waste receptacle for women's restroom
2nd row*47 Conditions of Permit-in use of food equipment
3rd row*35 Eating food, chewing gum, drinking beverages, or using tobacco
4th row*31 Handwashing lavatory - used for other purpose
5th row*34 Outer door: solid,selfclosing,tightfitting
ValueCountFrequency (%)
food 470
 
4.5%
275
 
2.6%
in 195
 
1.9%
of 195
 
1.9%
47 155
 
1.5%
or 141
 
1.3%
the 134
 
1.3%
for 131
 
1.3%
good 129
 
1.2%
45 129
 
1.2%
Other values (584) 8508
81.3%
2025-04-14T23:29:07.368188image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9168
13.9%
e 5426
 
8.2%
o 4918
 
7.4%
i 4179
 
6.3%
n 3985
 
6.0%
t 3775
 
5.7%
s 3414
 
5.2%
a 3351
 
5.1%
r 3142
 
4.7%
d 2366
 
3.6%
Other values (66) 22451
33.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 66175
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9168
13.9%
e 5426
 
8.2%
o 4918
 
7.4%
i 4179
 
6.3%
n 3985
 
6.0%
t 3775
 
5.7%
s 3414
 
5.2%
a 3351
 
5.1%
r 3142
 
4.7%
d 2366
 
3.6%
Other values (66) 22451
33.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 66175
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9168
13.9%
e 5426
 
8.2%
o 4918
 
7.4%
i 4179
 
6.3%
n 3985
 
6.0%
t 3775
 
5.7%
s 3414
 
5.2%
a 3351
 
5.1%
r 3142
 
4.7%
d 2366
 
3.6%
Other values (66) 22451
33.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 66175
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9168
13.9%
e 5426
 
8.2%
o 4918
 
7.4%
i 4179
 
6.3%
n 3985
 
6.0%
t 3775
 
5.7%
s 3414
 
5.2%
a 3351
 
5.1%
r 3142
 
4.7%
d 2366
 
3.6%
Other values (66) 22451
33.9%

Violation Points - 11
Categorical

Missing 

Distinct3
Distinct (%)0.2%
Missing15923
Missing (%)91.6%
Memory size1.1 MiB
1.0
927 
2.0
314 
3.0
227 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters4404
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 927
 
5.3%
2.0 314
 
1.8%
3.0 227
 
1.3%
(Missing) 15923
91.6%

Length

2025-04-14T23:29:07.489899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:29:07.557438image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 927
63.1%
2.0 314
 
21.4%
3.0 227
 
15.5%

Most occurring characters

ValueCountFrequency (%)
. 1468
33.3%
0 1468
33.3%
1 927
21.0%
2 314
 
7.1%
3 227
 
5.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4404
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 1468
33.3%
0 1468
33.3%
1 927
21.0%
2 314
 
7.1%
3 227
 
5.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4404
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 1468
33.3%
0 1468
33.3%
1 927
21.0%
2 314
 
7.1%
3 227
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4404
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 1468
33.3%
0 1468
33.3%
1 927
21.0%
2 314
 
7.1%
3 227
 
5.2%

Violation Detail - 11
Text

Missing 

Distinct209
Distinct (%)14.7%
Missing15968
Missing (%)91.8%
Memory size1.1 MiB
2025-04-14T23:29:07.907308image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length888
Median length559
Mean length352.83767
Min length125

Characters and Unicode

Total characters502088
Distinct characters73
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)5.6%

Sample

1st row228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (h) Toilet room receptacle, covered. A toilet room used by females shall be provided with a covered receptacle for sanitary napkins.
2nd row228.248 Compliance Conditions of retention, responsibilities of the permit holder. Upon acceptance of the permit issued by the regulatory authority, the permit holder in order to retain the permit shall: (11) Notify customers that a copy of the most recent establishment inspection report is available upon request by posting a sign or placard in a location in the food establishment that is conspicuous to customers or by another method acceptable to the regulatory authority.
3rd row228.42 Management and Personnel. Food Contamination Prevention (a) Eating, drinking, or using tobacco. (1) except as specified in paragraph (2) of this subsection, an employee shall eat, drink, or use any form of tobacco only in designated areas where the contamination of exposed food; clean equipment, utensils, and linens; unwrapped single-service and single-use articles; or other items needing protection cannot result.
4th row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (a) Using a handwashing facility. (2) A handwashing facility may not be used for purposes other than handwashing.
5th row228.174 Physical Facilities. Functionality. (e) Outer openings, protected. (1) Except as specified in paragraphs (2) - (5) of this subsection, outer openings of a food establishment shall be protected against the entry of insects and rodents by: (C) solid self-closing, tight-fitting doors.
ValueCountFrequency (%)
and 3635
 
5.3%
food 3052
 
4.4%
the 2345
 
3.4%
of 2330
 
3.4%
a 1906
 
2.8%
shall 1583
 
2.3%
in 1491
 
2.2%
be 1470
 
2.1%
equipment 1202
 
1.7%
or 1153
 
1.7%
Other values (1435) 48955
70.8%
2025-04-14T23:29:08.443820image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103031
20.5%
e 42969
 
8.6%
i 29491
 
5.9%
a 29296
 
5.8%
n 28292
 
5.6%
t 27977
 
5.6%
o 27314
 
5.4%
s 27052
 
5.4%
r 20243
 
4.0%
d 16744
 
3.3%
Other values (63) 149679
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 502088
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
103031
20.5%
e 42969
 
8.6%
i 29491
 
5.9%
a 29296
 
5.8%
n 28292
 
5.6%
t 27977
 
5.6%
o 27314
 
5.4%
s 27052
 
5.4%
r 20243
 
4.0%
d 16744
 
3.3%
Other values (63) 149679
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 502088
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
103031
20.5%
e 42969
 
8.6%
i 29491
 
5.9%
a 29296
 
5.8%
n 28292
 
5.6%
t 27977
 
5.6%
o 27314
 
5.4%
s 27052
 
5.4%
r 20243
 
4.0%
d 16744
 
3.3%
Other values (63) 149679
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 502088
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
103031
20.5%
e 42969
 
8.6%
i 29491
 
5.9%
a 29296
 
5.8%
n 28292
 
5.6%
t 27977
 
5.6%
o 27314
 
5.4%
s 27052
 
5.4%
r 20243
 
4.0%
d 16744
 
3.3%
Other values (63) 149679
29.8%

Violation Memo - 11
Text

Missing 

Distinct1150
Distinct (%)89.1%
Missing16100
Missing (%)92.6%
Memory size634.9 KiB
2025-04-14T23:29:08.816262image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length845
Median length132
Mean length47.420604
Min length4

Characters and Unicode

Total characters61220
Distinct characters79
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1098 ?
Unique (%)85.1%

Sample

1st rowprovide covered receptacle
2nd rowPOST SIGN " CURRENT HEALTH INSPECTION REPORT IS AVAILABLE UPON REQUEST"
3rd rowObserved drinks and food of employees in soda coolers, designate an area for employees drinks and food
4th rowHAND SINK USE FOR STORAGE
5th rowNEEDS WEATHER STRIPPING
ValueCountFrequency (%)
in 339
 
3.3%
food 283
 
2.8%
clean 177
 
1.7%
on 174
 
1.7%
provide 173
 
1.7%
and 168
 
1.7%
observed 150
 
1.5%
the 139
 
1.4%
all 137
 
1.3%
of 125
 
1.2%
Other values (1344) 8316
81.7%
2025-04-14T23:29:09.312845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9102
 
14.9%
e 4796
 
7.8%
o 3682
 
6.0%
n 2866
 
4.7%
r 2860
 
4.7%
a 2807
 
4.6%
s 2689
 
4.4%
i 2613
 
4.3%
t 2602
 
4.3%
d 1889
 
3.1%
Other values (69) 25314
41.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 61220
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9102
 
14.9%
e 4796
 
7.8%
o 3682
 
6.0%
n 2866
 
4.7%
r 2860
 
4.7%
a 2807
 
4.6%
s 2689
 
4.4%
i 2613
 
4.3%
t 2602
 
4.3%
d 1889
 
3.1%
Other values (69) 25314
41.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 61220
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9102
 
14.9%
e 4796
 
7.8%
o 3682
 
6.0%
n 2866
 
4.7%
r 2860
 
4.7%
a 2807
 
4.6%
s 2689
 
4.4%
i 2613
 
4.3%
t 2602
 
4.3%
d 1889
 
3.1%
Other values (69) 25314
41.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 61220
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9102
 
14.9%
e 4796
 
7.8%
o 3682
 
6.0%
n 2866
 
4.7%
r 2860
 
4.7%
a 2807
 
4.6%
s 2689
 
4.4%
i 2613
 
4.3%
t 2602
 
4.3%
d 1889
 
3.1%
Other values (69) 25314
41.3%
Distinct170
Distinct (%)18.9%
Missing16492
Missing (%)94.8%
Memory size607.0 KiB
2025-04-14T23:29:09.502008image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length84
Mean length45.558398
Min length12

Characters and Unicode

Total characters40957
Distinct characters78
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)7.9%

Sample

1st row*39 Store all equipment & utensil covered or inverted
2nd row*35 Hair Restraints effective
3rd row*41 Food storage containers, identified with common name of food.
4th row*14 When to wash hands before donning new gloves
5th row*29 Sanitizing solutions, testing devices
ValueCountFrequency (%)
food 282
 
4.4%
145
 
2.3%
in 130
 
2.0%
of 103
 
1.6%
or 97
 
1.5%
good 92
 
1.4%
47 91
 
1.4%
be 90
 
1.4%
repair 86
 
1.3%
45 83
 
1.3%
Other values (534) 5225
81.3%
2025-04-14T23:29:09.828297image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5630
13.7%
e 3337
 
8.1%
o 3074
 
7.5%
i 2647
 
6.5%
n 2486
 
6.1%
t 2397
 
5.9%
s 2134
 
5.2%
a 2104
 
5.1%
r 1942
 
4.7%
d 1511
 
3.7%
Other values (68) 13695
33.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 40957
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5630
13.7%
e 3337
 
8.1%
o 3074
 
7.5%
i 2647
 
6.5%
n 2486
 
6.1%
t 2397
 
5.9%
s 2134
 
5.2%
a 2104
 
5.1%
r 1942
 
4.7%
d 1511
 
3.7%
Other values (68) 13695
33.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 40957
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5630
13.7%
e 3337
 
8.1%
o 3074
 
7.5%
i 2647
 
6.5%
n 2486
 
6.1%
t 2397
 
5.9%
s 2134
 
5.2%
a 2104
 
5.1%
r 1942
 
4.7%
d 1511
 
3.7%
Other values (68) 13695
33.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 40957
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5630
13.7%
e 3337
 
8.1%
o 3074
 
7.5%
i 2647
 
6.5%
n 2486
 
6.1%
t 2397
 
5.9%
s 2134
 
5.2%
a 2104
 
5.1%
r 1942
 
4.7%
d 1511
 
3.7%
Other values (68) 13695
33.4%

Violation Points - 12
Categorical

Missing 

Distinct3
Distinct (%)0.3%
Missing16492
Missing (%)94.8%
Memory size1.1 MiB
1.0
561 
2.0
201 
3.0
137 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2697
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row3.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 561
 
3.2%
2.0 201
 
1.2%
3.0 137
 
0.8%
(Missing) 16492
94.8%

Length

2025-04-14T23:29:09.928850image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:29:09.993601image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 561
62.4%
2.0 201
 
22.4%
3.0 137
 
15.2%

Most occurring characters

ValueCountFrequency (%)
. 899
33.3%
0 899
33.3%
1 561
20.8%
2 201
 
7.5%
3 137
 
5.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2697
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 899
33.3%
0 899
33.3%
1 561
20.8%
2 201
 
7.5%
3 137
 
5.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2697
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 899
33.3%
0 899
33.3%
1 561
20.8%
2 201
 
7.5%
3 137
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2697
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 899
33.3%
0 899
33.3%
1 561
20.8%
2 201
 
7.5%
3 137
 
5.1%

Violation Detail - 12
Text

Missing 

Distinct170
Distinct (%)19.7%
Missing16528
Missing (%)95.0%
Memory size903.3 KiB
2025-04-14T23:29:10.329949image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length888
Median length521
Mean length346.83893
Min length127

Characters and Unicode

Total characters299322
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)8.2%

Sample

1st row228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (2) Clean equipment and utensils shall be stored as specified under paragraph (1) of this subsection and shall be stored: (B) covered or inverted.
2nd row228.43 Management and Personnel. Hair restraints. (a) Except as provided in subsection (b) of this section, food employees shall wear hair restraints such as hats, hair coverings or nets, beard restraints, and clothing that covers body hair, that are designed and worn to effectively keep their hair from contacting exposed food; clean equipment, utensils, and linens; and unwrapped single-service and single-use articles.
3rd row228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.
4th row228.38 Management and Personnel. (d) When to wash. Food employees shall clean their hands and exposed portions of their arms as specified in subsection (b) of this section immediately before engaging in food preparation including working with exposed food, clean equipment and utensils, and unwrapped single-service and single-use articles and: (8) before donning gloves to initiate a task that involves working with food; and
5th row228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (e) Sanitizing solutions, testing device. A test kit or other device that accurately measures the concentration in mg/L of sanitizing solutions shall be provided.
ValueCountFrequency (%)
and 2171
 
5.3%
food 1789
 
4.4%
of 1425
 
3.5%
the 1320
 
3.2%
a 1109
 
2.7%
shall 952
 
2.3%
in 885
 
2.2%
be 852
 
2.1%
equipment 741
 
1.8%
or 681
 
1.7%
Other values (1258) 29106
70.9%
2025-04-14T23:29:11.085831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60904
20.3%
e 25469
 
8.5%
i 17854
 
6.0%
a 17493
 
5.8%
n 17145
 
5.7%
t 16696
 
5.6%
o 16306
 
5.4%
s 16207
 
5.4%
r 12040
 
4.0%
d 10060
 
3.4%
Other values (61) 89148
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 299322
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
60904
20.3%
e 25469
 
8.5%
i 17854
 
6.0%
a 17493
 
5.8%
n 17145
 
5.7%
t 16696
 
5.6%
o 16306
 
5.4%
s 16207
 
5.4%
r 12040
 
4.0%
d 10060
 
3.4%
Other values (61) 89148
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 299322
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
60904
20.3%
e 25469
 
8.5%
i 17854
 
6.0%
a 17493
 
5.8%
n 17145
 
5.7%
t 16696
 
5.6%
o 16306
 
5.4%
s 16207
 
5.4%
r 12040
 
4.0%
d 10060
 
3.4%
Other values (61) 89148
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 299322
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
60904
20.3%
e 25469
 
8.5%
i 17854
 
6.0%
a 17493
 
5.8%
n 17145
 
5.7%
t 16696
 
5.6%
o 16306
 
5.4%
s 16207
 
5.4%
r 12040
 
4.0%
d 10060
 
3.4%
Other values (61) 89148
29.8%

Violation Memo - 12
Text

Missing 

Distinct729
Distinct (%)89.9%
Missing16580
Missing (%)95.3%
Memory size600.8 KiB
2025-04-14T23:29:11.623910image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length502
Median length116
Mean length47.225647
Min length3

Characters and Unicode

Total characters38300
Distinct characters82
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique694 ?
Unique (%)85.6%

Sample

1st rowinvert plates
2nd rowPROPERLY RESTRAIN HAIR
3rd rowLabel bulk food items (flour, pizza sauce, cornstarch)
4th rowGLOVE PUT ON WITHOUT HAND WASH
5th rowsanitizer test strips shall be on site
ValueCountFrequency (%)
in 234
 
3.7%
food 186
 
2.9%
provide 125
 
2.0%
clean 123
 
1.9%
and 119
 
1.9%
on 115
 
1.8%
observed 99
 
1.6%
all 87
 
1.4%
the 82
 
1.3%
repair 77
 
1.2%
Other values (1066) 5117
80.4%
2025-04-14T23:29:12.366854image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5640
 
14.7%
e 3076
 
8.0%
o 2378
 
6.2%
r 1926
 
5.0%
a 1839
 
4.8%
n 1754
 
4.6%
s 1720
 
4.5%
i 1652
 
4.3%
t 1587
 
4.1%
l 1250
 
3.3%
Other values (72) 15478
40.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 38300
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5640
 
14.7%
e 3076
 
8.0%
o 2378
 
6.2%
r 1926
 
5.0%
a 1839
 
4.8%
n 1754
 
4.6%
s 1720
 
4.5%
i 1652
 
4.3%
t 1587
 
4.1%
l 1250
 
3.3%
Other values (72) 15478
40.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 38300
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5640
 
14.7%
e 3076
 
8.0%
o 2378
 
6.2%
r 1926
 
5.0%
a 1839
 
4.8%
n 1754
 
4.6%
s 1720
 
4.5%
i 1652
 
4.3%
t 1587
 
4.1%
l 1250
 
3.3%
Other values (72) 15478
40.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 38300
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5640
 
14.7%
e 3076
 
8.0%
o 2378
 
6.2%
r 1926
 
5.0%
a 1839
 
4.8%
n 1754
 
4.6%
s 1720
 
4.5%
i 1652
 
4.3%
t 1587
 
4.1%
l 1250
 
3.3%
Other values (72) 15478
40.4%
Distinct133
Distinct (%)25.5%
Missing16869
Missing (%)97.0%
Memory size578.7 KiB
2025-04-14T23:29:12.755713image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length74
Mean length42.923372
Min length12

Characters and Unicode

Total characters22406
Distinct characters76
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)11.7%

Sample

1st row*42 Dirty nonfood contact surfaces
2nd row*36 Cloths in-use for wiping between uses stored
3rd row*29 Cold/hot hold unit thermometer easily viewable
4th row*43 Light bulbs, light shields provided
5th row*38 Thawing. under running water criteria -thawed RTE <41F
ValueCountFrequency (%)
food 145
 
4.1%
80
 
2.3%
in 64
 
1.8%
47 54
 
1.5%
of 45
 
1.3%
light 42
 
1.2%
the 41
 
1.2%
good 41
 
1.2%
45 41
 
1.2%
repair 40
 
1.1%
Other values (436) 2929
83.2%
2025-04-14T23:29:13.297040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3060
13.7%
e 1821
 
8.1%
o 1629
 
7.3%
i 1438
 
6.4%
t 1300
 
5.8%
n 1294
 
5.8%
s 1188
 
5.3%
a 1149
 
5.1%
r 1048
 
4.7%
d 831
 
3.7%
Other values (66) 7648
34.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 22406
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3060
13.7%
e 1821
 
8.1%
o 1629
 
7.3%
i 1438
 
6.4%
t 1300
 
5.8%
n 1294
 
5.8%
s 1188
 
5.3%
a 1149
 
5.1%
r 1048
 
4.7%
d 831
 
3.7%
Other values (66) 7648
34.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 22406
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3060
13.7%
e 1821
 
8.1%
o 1629
 
7.3%
i 1438
 
6.4%
t 1300
 
5.8%
n 1294
 
5.8%
s 1188
 
5.3%
a 1149
 
5.1%
r 1048
 
4.7%
d 831
 
3.7%
Other values (66) 7648
34.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 22406
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3060
13.7%
e 1821
 
8.1%
o 1629
 
7.3%
i 1438
 
6.4%
t 1300
 
5.8%
n 1294
 
5.8%
s 1188
 
5.3%
a 1149
 
5.1%
r 1048
 
4.7%
d 831
 
3.7%
Other values (66) 7648
34.1%

Violation Points - 13
Categorical

Missing 

Distinct3
Distinct (%)0.6%
Missing16869
Missing (%)97.0%
Memory size1.1 MiB
1.0
330 
2.0
116 
3.0
76 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1566
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 330
 
1.9%
2.0 116
 
0.7%
3.0 76
 
0.4%
(Missing) 16869
97.0%

Length

2025-04-14T23:29:13.404202image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:29:13.469183image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 330
63.2%
2.0 116
 
22.2%
3.0 76
 
14.6%

Most occurring characters

ValueCountFrequency (%)
. 522
33.3%
0 522
33.3%
1 330
21.1%
2 116
 
7.4%
3 76
 
4.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1566
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 522
33.3%
0 522
33.3%
1 330
21.1%
2 116
 
7.4%
3 76
 
4.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1566
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 522
33.3%
0 522
33.3%
1 330
21.1%
2 116
 
7.4%
3 76
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1566
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 522
33.3%
0 522
33.3%
1 330
21.1%
2 116
 
7.4%
3 76
 
4.9%

Violation Detail - 13
Text

Missing 

Distinct133
Distinct (%)26.7%
Missing16892
Missing (%)97.1%
Memory size738.9 KiB
2025-04-14T23:29:13.711748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length815
Median length493
Mean length335.29259
Min length125

Characters and Unicode

Total characters167311
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)12.4%

Sample

1st row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
2nd row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; and
3rd row228.106 Equipment, Utensils, and Linens. Functionality of equipment. (l) Temperature measuring devices. (2) Except as specified in paragraph (3) of this subsection, cold or hot holding equipment used for time/temperature control for safety (TCS) food shall be designed to include and shall be equipped with at least one integral or permanently affixed temperature measuring device that is located to allow easy viewing of the device's temperature display.
4th row228.174 Physical Facilities. Functionality. (a) Light bulbs, protective shielding. (1) Except as specified in paragraph (2) of this subsection, light bulbs shall be shielded, coated, or otherwise shatter-resistant in areas where there is exposed food; clean equipment, utensils, and linens; or unwrapped single-service and single-use articles.
5th row228.75 Food. Time and temperature control. (c) Thawing. Except as specified in paragraph (4) of this subsection, TCS food shall be thawed: (2) completely submerged under running water: (C) for a period of time that does not allow thawed portions of ready-to-eat food to rise above 5 degrees Celsius (41 degrees Fahrenheit); or
ValueCountFrequency (%)
and 1262
 
5.5%
food 998
 
4.4%
of 735
 
3.2%
the 690
 
3.0%
a 590
 
2.6%
shall 541
 
2.4%
be 506
 
2.2%
in 454
 
2.0%
equipment 440
 
1.9%
or 371
 
1.6%
Other values (1093) 16228
71.1%
2025-04-14T23:29:14.121758image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34311
20.5%
e 14136
 
8.4%
i 9972
 
6.0%
a 9699
 
5.8%
n 9481
 
5.7%
t 9217
 
5.5%
s 9202
 
5.5%
o 8918
 
5.3%
r 6596
 
3.9%
d 5644
 
3.4%
Other values (61) 50135
30.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 167311
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
34311
20.5%
e 14136
 
8.4%
i 9972
 
6.0%
a 9699
 
5.8%
n 9481
 
5.7%
t 9217
 
5.5%
s 9202
 
5.5%
o 8918
 
5.3%
r 6596
 
3.9%
d 5644
 
3.4%
Other values (61) 50135
30.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 167311
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
34311
20.5%
e 14136
 
8.4%
i 9972
 
6.0%
a 9699
 
5.8%
n 9481
 
5.7%
t 9217
 
5.5%
s 9202
 
5.5%
o 8918
 
5.3%
r 6596
 
3.9%
d 5644
 
3.4%
Other values (61) 50135
30.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 167311
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
34311
20.5%
e 14136
 
8.4%
i 9972
 
6.0%
a 9699
 
5.8%
n 9481
 
5.7%
t 9217
 
5.5%
s 9202
 
5.5%
o 8918
 
5.3%
r 6596
 
3.9%
d 5644
 
3.4%
Other values (61) 50135
30.0%

Violation Memo - 13
Text

Missing 

Distinct440
Distinct (%)94.2%
Missing16924
Missing (%)97.3%
Memory size578.0 KiB
2025-04-14T23:29:14.415369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length881
Median length108
Mean length50.117773
Min length7

Characters and Unicode

Total characters23405
Distinct characters79
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique420 ?
Unique (%)89.9%

Sample

1st rowClean pizza prep counters Clean floors
2nd rowWIPING CLOTH STORED THROUGHOUT ESTABLISHMENT
3rd rowreplace broken light shields
4th rowRaw ground meat left on prep counter to defrost
5th rowobserved fruit flies and roaches
ValueCountFrequency (%)
in 121
 
3.1%
food 100
 
2.6%
clean 76
 
2.0%
provide 68
 
1.8%
and 63
 
1.6%
on 62
 
1.6%
observed 54
 
1.4%
the 51
 
1.3%
to 46
 
1.2%
at 45
 
1.2%
Other values (870) 3176
82.2%
2025-04-14T23:29:14.869725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3512
 
15.0%
e 1874
 
8.0%
o 1460
 
6.2%
a 1203
 
5.1%
n 1160
 
5.0%
r 1155
 
4.9%
t 1087
 
4.6%
s 1067
 
4.6%
i 1040
 
4.4%
l 780
 
3.3%
Other values (69) 9067
38.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 23405
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3512
 
15.0%
e 1874
 
8.0%
o 1460
 
6.2%
a 1203
 
5.1%
n 1160
 
5.0%
r 1155
 
4.9%
t 1087
 
4.6%
s 1067
 
4.6%
i 1040
 
4.4%
l 780
 
3.3%
Other values (69) 9067
38.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 23405
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3512
 
15.0%
e 1874
 
8.0%
o 1460
 
6.2%
a 1203
 
5.1%
n 1160
 
5.0%
r 1155
 
4.9%
t 1087
 
4.6%
s 1067
 
4.6%
i 1040
 
4.4%
l 780
 
3.3%
Other values (69) 9067
38.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 23405
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3512
 
15.0%
e 1874
 
8.0%
o 1460
 
6.2%
a 1203
 
5.1%
n 1160
 
5.0%
r 1155
 
4.9%
t 1087
 
4.6%
s 1067
 
4.6%
i 1040
 
4.4%
l 780
 
3.3%
Other values (69) 9067
38.7%
Distinct110
Distinct (%)32.2%
Missing17049
Missing (%)98.0%
Memory size567.4 KiB
2025-04-14T23:29:15.070547image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length68
Mean length44.809942
Min length16

Characters and Unicode

Total characters15325
Distinct characters77
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)15.5%

Sample

1st row*32 Damaged Equipment
2nd row*06 Time as PHC: maximum of 4 hours limit food in unmarked containers or packages
3rd row*09 Food protected cross contamination arrange each type food in equipment so cross is prevented
4th row*42 Dirty nonfood contact surfaces
5th row*32 Approved Food Contact Equip.
ValueCountFrequency (%)
food 99
 
4.2%
64
 
2.7%
in 42
 
1.8%
or 36
 
1.5%
47 34
 
1.4%
for 33
 
1.4%
of 32
 
1.3%
the 31
 
1.3%
and 27
 
1.1%
other 25
 
1.1%
Other values (414) 1957
82.2%
2025-04-14T23:29:15.410604image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2069
 
13.5%
e 1233
 
8.0%
o 1148
 
7.5%
i 959
 
6.3%
n 924
 
6.0%
t 864
 
5.6%
s 827
 
5.4%
a 813
 
5.3%
r 700
 
4.6%
d 535
 
3.5%
Other values (67) 5253
34.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 15325
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2069
 
13.5%
e 1233
 
8.0%
o 1148
 
7.5%
i 959
 
6.3%
n 924
 
6.0%
t 864
 
5.6%
s 827
 
5.4%
a 813
 
5.3%
r 700
 
4.6%
d 535
 
3.5%
Other values (67) 5253
34.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 15325
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2069
 
13.5%
e 1233
 
8.0%
o 1148
 
7.5%
i 959
 
6.3%
n 924
 
6.0%
t 864
 
5.6%
s 827
 
5.4%
a 813
 
5.3%
r 700
 
4.6%
d 535
 
3.5%
Other values (67) 5253
34.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 15325
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2069
 
13.5%
e 1233
 
8.0%
o 1148
 
7.5%
i 959
 
6.3%
n 924
 
6.0%
t 864
 
5.6%
s 827
 
5.4%
a 813
 
5.3%
r 700
 
4.6%
d 535
 
3.5%
Other values (67) 5253
34.3%

Violation Points - 14
Categorical

High correlation  Missing 

Distinct3
Distinct (%)0.9%
Missing17049
Missing (%)98.0%
Memory size1.1 MiB
1.0
208 
2.0
89 
3.0
45 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1026
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row3.0
3rd row3.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 208
 
1.2%
2.0 89
 
0.5%
3.0 45
 
0.3%
(Missing) 17049
98.0%

Length

2025-04-14T23:29:15.520396image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:29:15.589052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 208
60.8%
2.0 89
26.0%
3.0 45
 
13.2%

Most occurring characters

ValueCountFrequency (%)
. 342
33.3%
0 342
33.3%
1 208
20.3%
2 89
 
8.7%
3 45
 
4.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1026
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 342
33.3%
0 342
33.3%
1 208
20.3%
2 89
 
8.7%
3 45
 
4.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1026
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 342
33.3%
0 342
33.3%
1 208
20.3%
2 89
 
8.7%
3 45
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1026
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 342
33.3%
0 342
33.3%
1 208
20.3%
2 89
 
8.7%
3 45
 
4.4%

Violation Detail - 14
Text

Missing 

Distinct109
Distinct (%)33.2%
Missing17063
Missing (%)98.1%
Memory size679.3 KiB
2025-04-14T23:29:15.887575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length815
Median length469
Mean length345.03049
Min length148

Characters and Unicode

Total characters113170
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)16.2%

Sample

1st row228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (2) free of breaks, open seams, cracks, chips, inclusions, pits, and similar imperfections;
2nd row228.75 Food. Time and temperature control. (i) Time as a public health control. (2) If time without temperature control is used as the public health control up to a maximum of 4 hours: (D) the food in unmarked containers or packages, or marked to exceed a 4-hour limit shall be discarded.
3rd row228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (ii) arranging each type of food in equipment so that cross contamination of one type with another is prevented; and
4th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
5th row228.224 REQUIREMENTS APPLICABLE TO CERTAIN ESTABLISHMENTS Outfitter Operations. (i) Equipment. All equipment and utensils intended for food contact shall be approved for food use.
ValueCountFrequency (%)
and 837
 
5.4%
food 663
 
4.3%
of 510
 
3.3%
the 447
 
2.9%
a 440
 
2.8%
shall 356
 
2.3%
be 336
 
2.2%
in 312
 
2.0%
equipment 279
 
1.8%
or 264
 
1.7%
Other values (968) 10998
71.2%
2025-04-14T23:29:16.358516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23080
20.4%
e 9596
 
8.5%
a 6713
 
5.9%
i 6638
 
5.9%
n 6579
 
5.8%
t 6208
 
5.5%
o 6121
 
5.4%
s 6120
 
5.4%
r 4488
 
4.0%
d 3780
 
3.3%
Other values (61) 33847
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 113170
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
23080
20.4%
e 9596
 
8.5%
a 6713
 
5.9%
i 6638
 
5.9%
n 6579
 
5.8%
t 6208
 
5.5%
o 6121
 
5.4%
s 6120
 
5.4%
r 4488
 
4.0%
d 3780
 
3.3%
Other values (61) 33847
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 113170
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
23080
20.4%
e 9596
 
8.5%
a 6713
 
5.9%
i 6638
 
5.9%
n 6579
 
5.8%
t 6208
 
5.5%
o 6121
 
5.4%
s 6120
 
5.4%
r 4488
 
4.0%
d 3780
 
3.3%
Other values (61) 33847
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 113170
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
23080
20.4%
e 9596
 
8.5%
a 6713
 
5.9%
i 6638
 
5.9%
n 6579
 
5.8%
t 6208
 
5.5%
o 6121
 
5.4%
s 6120
 
5.4%
r 4488
 
4.0%
d 3780
 
3.3%
Other values (61) 33847
29.9%

Violation Memo - 14
Text

Missing 

Distinct296
Distinct (%)95.8%
Missing17082
Missing (%)98.2%
Memory size566.0 KiB
2025-04-14T23:29:16.676760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length243
Median length90
Mean length49.132686
Min length5

Characters and Unicode

Total characters15182
Distinct characters76
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique287 ?
Unique (%)92.9%

Sample

1st rowObserved large amount of water siting, repair cooler unit in WIC
2nd rowNO TIME PROVIDED FOR TCS FOODS ITEMS ON DISPLAY : KOLACHES
3rd rowRAW EGGS STORED BEHIND RTE FOODS IN MAKE READY COOLER; RAW TURKEY BACON STORED ABOVE RTE FOODS IN MAKE READY COOLER
4th rowCooler gaskets soiled at WIC
5th rowOBSERVED TRASH BAG USED TO COVER FOOD ITEMS
ValueCountFrequency (%)
in 94
 
3.7%
food 70
 
2.7%
and 48
 
1.9%
on 45
 
1.8%
the 40
 
1.6%
clean 37
 
1.4%
observed 37
 
1.4%
no 37
 
1.4%
of 36
 
1.4%
hand 35
 
1.4%
Other values (635) 2089
81.3%
2025-04-14T23:29:17.149904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2276
 
15.0%
e 1127
 
7.4%
o 875
 
5.8%
n 747
 
4.9%
a 694
 
4.6%
r 672
 
4.4%
i 658
 
4.3%
t 652
 
4.3%
s 611
 
4.0%
l 447
 
2.9%
Other values (66) 6423
42.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 15182
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2276
 
15.0%
e 1127
 
7.4%
o 875
 
5.8%
n 747
 
4.9%
a 694
 
4.6%
r 672
 
4.4%
i 658
 
4.3%
t 652
 
4.3%
s 611
 
4.0%
l 447
 
2.9%
Other values (66) 6423
42.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 15182
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2276
 
15.0%
e 1127
 
7.4%
o 875
 
5.8%
n 747
 
4.9%
a 694
 
4.6%
r 672
 
4.4%
i 658
 
4.3%
t 652
 
4.3%
s 611
 
4.0%
l 447
 
2.9%
Other values (66) 6423
42.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 15182
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2276
 
15.0%
e 1127
 
7.4%
o 875
 
5.8%
n 747
 
4.9%
a 694
 
4.6%
r 672
 
4.4%
i 658
 
4.3%
t 652
 
4.3%
s 611
 
4.0%
l 447
 
2.9%
Other values (66) 6423
42.3%
Distinct87
Distinct (%)38.8%
Missing17167
Missing (%)98.7%
Memory size559.6 KiB
2025-04-14T23:29:17.347651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length68
Mean length45.705357
Min length16

Characters and Unicode

Total characters10238
Distinct characters74
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)22.3%

Sample

1st row*42 Nonfood-contact surfaces material
2nd row*43 Clean vent syst:Intake/exhaust air ducts
3rd row*02 Cold Hold (41øF/45øF or below)
4th row*36 Cloths in-use for wiping between uses stored
5th row*24 Food packaged in a establishment, shall be labeled as specified in law
ValueCountFrequency (%)
food 80
 
5.0%
38
 
2.4%
in 35
 
2.2%
or 28
 
1.7%
the 24
 
1.5%
47 24
 
1.5%
42 23
 
1.4%
dirty 21
 
1.3%
equipment 21
 
1.3%
of 20
 
1.2%
Other values (327) 1289
80.4%
2025-04-14T23:29:17.683860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1407
13.7%
e 808
 
7.9%
o 786
 
7.7%
n 644
 
6.3%
i 623
 
6.1%
t 605
 
5.9%
a 545
 
5.3%
s 502
 
4.9%
r 485
 
4.7%
d 375
 
3.7%
Other values (64) 3458
33.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 10238
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1407
13.7%
e 808
 
7.9%
o 786
 
7.7%
n 644
 
6.3%
i 623
 
6.1%
t 605
 
5.9%
a 545
 
5.3%
s 502
 
4.9%
r 485
 
4.7%
d 375
 
3.7%
Other values (64) 3458
33.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 10238
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1407
13.7%
e 808
 
7.9%
o 786
 
7.7%
n 644
 
6.3%
i 623
 
6.1%
t 605
 
5.9%
a 545
 
5.3%
s 502
 
4.9%
r 485
 
4.7%
d 375
 
3.7%
Other values (64) 3458
33.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 10238
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1407
13.7%
e 808
 
7.9%
o 786
 
7.7%
n 644
 
6.3%
i 623
 
6.1%
t 605
 
5.9%
a 545
 
5.3%
s 502
 
4.9%
r 485
 
4.7%
d 375
 
3.7%
Other values (64) 3458
33.8%

Violation Points - 15
Categorical

High correlation  Missing 

Distinct3
Distinct (%)1.3%
Missing17167
Missing (%)98.7%
Memory size1.1 MiB
1.0
140 
3.0
44 
2.0
40 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters672
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row3.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 140
 
0.8%
3.0 44
 
0.3%
2.0 40
 
0.2%
(Missing) 17167
98.7%

Length

2025-04-14T23:29:17.783742image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:29:17.856118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 140
62.5%
3.0 44
 
19.6%
2.0 40
 
17.9%

Most occurring characters

ValueCountFrequency (%)
. 224
33.3%
0 224
33.3%
1 140
20.8%
3 44
 
6.5%
2 40
 
6.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 672
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 224
33.3%
0 224
33.3%
1 140
20.8%
3 44
 
6.5%
2 40
 
6.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 672
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 224
33.3%
0 224
33.3%
1 140
20.8%
3 44
 
6.5%
2 40
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 672
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 224
33.3%
0 224
33.3%
1 140
20.8%
3 44
 
6.5%
2 40
 
6.0%

Violation Detail - 15
Text

Missing 

Distinct85
Distinct (%)39.5%
Missing17176
Missing (%)98.8%
Memory size633.5 KiB
2025-04-14T23:29:18.147728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length829
Median length470
Mean length354.42326
Min length163

Characters and Unicode

Total characters76201
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)22.8%

Sample

1st row228.101 Equipment, Utensils, and Linens. Multiuse materials. (i) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment that are exposed to splash, spillage, or other food soiling or that require frequent cleaning shall be constructed of a corrosion-resistant, nonabsorbent, and smooth material.
2nd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (d) Cleaning ventilation systems, nuisance and discharge prohibition. (1) Intake and exhaust air ducts shall be cleaned and filters changed so they are not a source of contamination by dust, dirt, and other materials.
3rd row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;
4th row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; and
5th row228.79 Food. Labeling. (a) Food labels. (1) Food packaged in a food establishment, shall be labeled as specified in law, including 21 CFR 101, Food Labeling, 9 CFR 317, Labeling, Marking Devices, and Containers, and 9 CFR 381, Subpart N, Labeling and Containers.
ValueCountFrequency (%)
and 604
 
5.8%
food 500
 
4.8%
of 358
 
3.4%
the 318
 
3.0%
a 246
 
2.3%
shall 235
 
2.2%
in 223
 
2.1%
be 215
 
2.1%
equipment 183
 
1.7%
or 153
 
1.5%
Other values (832) 7437
71.0%
2025-04-14T23:29:18.625858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15581
20.4%
e 6409
 
8.4%
n 4552
 
6.0%
a 4458
 
5.9%
i 4412
 
5.8%
o 4293
 
5.6%
t 4133
 
5.4%
s 4074
 
5.3%
r 3012
 
4.0%
d 2653
 
3.5%
Other values (61) 22624
29.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76201
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
15581
20.4%
e 6409
 
8.4%
n 4552
 
6.0%
a 4458
 
5.9%
i 4412
 
5.8%
o 4293
 
5.6%
t 4133
 
5.4%
s 4074
 
5.3%
r 3012
 
4.0%
d 2653
 
3.5%
Other values (61) 22624
29.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76201
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
15581
20.4%
e 6409
 
8.4%
n 4552
 
6.0%
a 4458
 
5.9%
i 4412
 
5.8%
o 4293
 
5.6%
t 4133
 
5.4%
s 4074
 
5.3%
r 3012
 
4.0%
d 2653
 
3.5%
Other values (61) 22624
29.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76201
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
15581
20.4%
e 6409
 
8.4%
n 4552
 
6.0%
a 4458
 
5.9%
i 4412
 
5.8%
o 4293
 
5.6%
t 4133
 
5.4%
s 4074
 
5.3%
r 3012
 
4.0%
d 2653
 
3.5%
Other values (61) 22624
29.7%

Violation Memo - 15
Text

Missing 

Distinct188
Distinct (%)96.4%
Missing17196
Missing (%)98.9%
Memory size558.3 KiB
2025-04-14T23:29:18.985349image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length436
Median length86
Mean length52.061538
Min length5

Characters and Unicode

Total characters10152
Distinct characters73
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique182 ?
Unique (%)93.3%

Sample

1st rowREMOVE CARDBOARD FROM FLOORS; REMOVE EXPOSED WOOD SHELVES IN DRY STORAGE
2nd rowAir intake vents in kitchen soiled
3rd rowSALSA 58.6*F STORED IN SHOPPING CART, GREEN 55*F,
4th rowSOILED WIPING CLOTHES IMPROPERLY STORED ON EQUIPMENT
5th rowLABEL S. BOTTLES
ValueCountFrequency (%)
in 54
 
3.2%
clean 42
 
2.5%
on 41
 
2.5%
food 40
 
2.4%
observed 29
 
1.7%
and 28
 
1.7%
of 21
 
1.3%
stored 21
 
1.3%
ice 20
 
1.2%
no 20
 
1.2%
Other values (531) 1357
81.1%
2025-04-14T23:29:19.494448image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1513
 
14.9%
e 725
 
7.1%
o 531
 
5.2%
n 439
 
4.3%
a 428
 
4.2%
r 411
 
4.0%
s 402
 
4.0%
i 400
 
3.9%
t 383
 
3.8%
E 291
 
2.9%
Other values (63) 4629
45.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 10152
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1513
 
14.9%
e 725
 
7.1%
o 531
 
5.2%
n 439
 
4.3%
a 428
 
4.2%
r 411
 
4.0%
s 402
 
4.0%
i 400
 
3.9%
t 383
 
3.8%
E 291
 
2.9%
Other values (63) 4629
45.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 10152
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1513
 
14.9%
e 725
 
7.1%
o 531
 
5.2%
n 439
 
4.3%
a 428
 
4.2%
r 411
 
4.0%
s 402
 
4.0%
i 400
 
3.9%
t 383
 
3.8%
E 291
 
2.9%
Other values (63) 4629
45.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 10152
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1513
 
14.9%
e 725
 
7.1%
o 531
 
5.2%
n 439
 
4.3%
a 428
 
4.2%
r 411
 
4.0%
s 402
 
4.0%
i 400
 
3.9%
t 383
 
3.8%
E 291
 
2.9%
Other values (63) 4629
45.6%
Distinct67
Distinct (%)50.4%
Missing17258
Missing (%)99.2%
Memory size552.5 KiB
2025-04-14T23:29:19.682042image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length62
Mean length41.842105
Min length13

Characters and Unicode

Total characters5565
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)29.3%

Sample

1st row*47 RFSM Certificate - Not Display
2nd row*47 Handwashing signage
3rd row*39 Store all equipment & utensil covered or inverted
4th row*02 Cold Hold (41øF/45øF or below)
5th row*20 Grease Trap Tickets
ValueCountFrequency (%)
food 34
 
3.9%
29
 
3.3%
47 21
 
2.4%
in 15
 
1.7%
or 15
 
1.7%
and 13
 
1.5%
the 12
 
1.4%
equipment 12
 
1.4%
39 11
 
1.3%
handwashing 11
 
1.3%
Other values (268) 699
80.2%
2025-04-14T23:29:19.997360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
756
 
13.6%
e 427
 
7.7%
o 406
 
7.3%
i 366
 
6.6%
n 344
 
6.2%
t 330
 
5.9%
s 290
 
5.2%
a 276
 
5.0%
r 261
 
4.7%
d 201
 
3.6%
Other values (61) 1908
34.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5565
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
756
 
13.6%
e 427
 
7.7%
o 406
 
7.3%
i 366
 
6.6%
n 344
 
6.2%
t 330
 
5.9%
s 290
 
5.2%
a 276
 
5.0%
r 261
 
4.7%
d 201
 
3.6%
Other values (61) 1908
34.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5565
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
756
 
13.6%
e 427
 
7.7%
o 406
 
7.3%
i 366
 
6.6%
n 344
 
6.2%
t 330
 
5.9%
s 290
 
5.2%
a 276
 
5.0%
r 261
 
4.7%
d 201
 
3.6%
Other values (61) 1908
34.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5565
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
756
 
13.6%
e 427
 
7.7%
o 406
 
7.3%
i 366
 
6.6%
n 344
 
6.2%
t 330
 
5.9%
s 290
 
5.2%
a 276
 
5.0%
r 261
 
4.7%
d 201
 
3.6%
Other values (61) 1908
34.3%

Violation Points - 16
Categorical

High correlation  Missing 

Distinct3
Distinct (%)2.3%
Missing17258
Missing (%)99.2%
Memory size1.1 MiB
1.0
88 
2.0
25 
3.0
20 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters399
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 88
 
0.5%
2.0 25
 
0.1%
3.0 20
 
0.1%
(Missing) 17258
99.2%

Length

2025-04-14T23:29:20.100423image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:29:20.169345image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 88
66.2%
2.0 25
 
18.8%
3.0 20
 
15.0%

Most occurring characters

ValueCountFrequency (%)
. 133
33.3%
0 133
33.3%
1 88
22.1%
2 25
 
6.3%
3 20
 
5.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 399
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 133
33.3%
0 133
33.3%
1 88
22.1%
2 25
 
6.3%
3 20
 
5.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 399
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 133
33.3%
0 133
33.3%
1 88
22.1%
2 25
 
6.3%
3 20
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 399
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 133
33.3%
0 133
33.3%
1 88
22.1%
2 25
 
6.3%
3 20
 
5.0%

Violation Detail - 16
Text

Missing 

Distinct66
Distinct (%)52.8%
Missing17266
Missing (%)99.3%
Memory size592.2 KiB
2025-04-14T23:29:20.438954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length703
Median length427
Mean length329.152
Min length125

Characters and Unicode

Total characters41144
Distinct characters68
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)32.0%

Sample

1st rowSec.17-2.2(c) Registered food service managers. (7) Display of certificate of registered food service manager. A food service establishment shall display the original certificate of each primary registered food service manager employed by the establishment. Each certificate must be displayed in a glass-covered frame at a location where it is easily visible to the public.
2nd row228.175 Physical Facilities. Handwashing Sinks. (e) Handwashing signage. A sign or poster that notifies food employees to wash their hands shall be provided at all handwashing sinks used by food employees and shall be clearly visible to food employees.
3rd row228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (2) Clean equipment and utensils shall be stored as specified under paragraph (1) of this subsection and shall be stored: (B) covered or inverted.
4th row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;
5th rowCh.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.
ValueCountFrequency (%)
and 309
 
5.5%
food 217
 
3.9%
of 190
 
3.4%
the 165
 
3.0%
a 149
 
2.7%
shall 142
 
2.5%
be 129
 
2.3%
equipment 115
 
2.1%
in 98
 
1.8%
or 97
 
1.7%
Other values (714) 3976
71.2%
2025-04-14T23:29:20.896288image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8646
21.0%
e 3357
 
8.2%
i 2452
 
6.0%
n 2343
 
5.7%
a 2334
 
5.7%
s 2328
 
5.7%
t 2234
 
5.4%
o 2159
 
5.2%
r 1560
 
3.8%
d 1335
 
3.2%
Other values (58) 12396
30.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 41144
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
8646
21.0%
e 3357
 
8.2%
i 2452
 
6.0%
n 2343
 
5.7%
a 2334
 
5.7%
s 2328
 
5.7%
t 2234
 
5.4%
o 2159
 
5.2%
r 1560
 
3.8%
d 1335
 
3.2%
Other values (58) 12396
30.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 41144
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
8646
21.0%
e 3357
 
8.2%
i 2452
 
6.0%
n 2343
 
5.7%
a 2334
 
5.7%
s 2328
 
5.7%
t 2234
 
5.4%
o 2159
 
5.2%
r 1560
 
3.8%
d 1335
 
3.2%
Other values (58) 12396
30.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 41144
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
8646
21.0%
e 3357
 
8.2%
i 2452
 
6.0%
n 2343
 
5.7%
a 2334
 
5.7%
s 2328
 
5.7%
t 2234
 
5.4%
o 2159
 
5.2%
r 1560
 
3.8%
d 1335
 
3.2%
Other values (58) 12396
30.1%

Violation Memo - 16
Text

Missing 

Distinct119
Distinct (%)98.3%
Missing17270
Missing (%)99.3%
Memory size552.7 KiB
2025-04-14T23:29:21.169878image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length327
Median length77
Mean length52.206612
Min length4

Characters and Unicode

Total characters6317
Distinct characters68
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)96.7%

Sample

1st rowMissing hand washing sign at bar hand sink
2nd rowCOVER DISHES
3rd rowTUNA 48.2, 48.3 & 48.9
4th rowGrease trap must be serviced every 90 days
5th rowclean shelves in coolers, clean shelves in the kitchen, clean gaskets, cabinets, ovens
ValueCountFrequency (%)
in 36
 
3.4%
hand 25
 
2.4%
provide 23
 
2.2%
sink 22
 
2.1%
on 22
 
2.1%
food 22
 
2.1%
clean 19
 
1.8%
and 17
 
1.6%
observed 15
 
1.4%
not 15
 
1.4%
Other values (398) 834
79.4%
2025-04-14T23:29:21.609636image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
941
 
14.9%
e 510
 
8.1%
o 379
 
6.0%
n 339
 
5.4%
s 328
 
5.2%
r 318
 
5.0%
a 311
 
4.9%
t 305
 
4.8%
i 303
 
4.8%
d 203
 
3.2%
Other values (58) 2380
37.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6317
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
941
 
14.9%
e 510
 
8.1%
o 379
 
6.0%
n 339
 
5.4%
s 328
 
5.2%
r 318
 
5.0%
a 311
 
4.9%
t 305
 
4.8%
i 303
 
4.8%
d 203
 
3.2%
Other values (58) 2380
37.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6317
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
941
 
14.9%
e 510
 
8.1%
o 379
 
6.0%
n 339
 
5.4%
s 328
 
5.2%
r 318
 
5.0%
a 311
 
4.9%
t 305
 
4.8%
i 303
 
4.8%
d 203
 
3.2%
Other values (58) 2380
37.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6317
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
941
 
14.9%
e 510
 
8.1%
o 379
 
6.0%
n 339
 
5.4%
s 328
 
5.2%
r 318
 
5.0%
a 311
 
4.9%
t 305
 
4.8%
i 303
 
4.8%
d 203
 
3.2%
Other values (58) 2380
37.7%
Distinct46
Distinct (%)63.0%
Missing17318
Missing (%)99.6%
Memory size548.7 KiB
2025-04-14T23:29:21.802211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length66
Mean length46.835616
Min length16

Characters and Unicode

Total characters3419
Distinct characters69
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)45.2%

Sample

1st row*32 Food-contact surfaces. smooth, non-absorbent and easily cleanable
2nd row*26 Advisory-"consuming raw or undercooked#" text
3rd row*41 Food storage containers, identified with common name of food.
4th row*31 Individual, disposable towels
5th row*14 When to wash hands before donning new gloves
ValueCountFrequency (%)
food 27
 
5.0%
in 13
 
2.4%
repair 11
 
2.0%
good 10
 
1.9%
the 10
 
1.9%
of 10
 
1.9%
shall 9
 
1.7%
be 9
 
1.7%
premises 9
 
1.7%
45 9
 
1.7%
Other values (208) 422
78.3%
2025-04-14T23:29:22.723468image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
480
14.0%
e 275
 
8.0%
o 258
 
7.5%
i 223
 
6.5%
n 217
 
6.3%
s 198
 
5.8%
a 183
 
5.4%
t 178
 
5.2%
r 143
 
4.2%
d 130
 
3.8%
Other values (59) 1134
33.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3419
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
480
14.0%
e 275
 
8.0%
o 258
 
7.5%
i 223
 
6.5%
n 217
 
6.3%
s 198
 
5.8%
a 183
 
5.4%
t 178
 
5.2%
r 143
 
4.2%
d 130
 
3.8%
Other values (59) 1134
33.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3419
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
480
14.0%
e 275
 
8.0%
o 258
 
7.5%
i 223
 
6.5%
n 217
 
6.3%
s 198
 
5.8%
a 183
 
5.4%
t 178
 
5.2%
r 143
 
4.2%
d 130
 
3.8%
Other values (59) 1134
33.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3419
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
480
14.0%
e 275
 
8.0%
o 258
 
7.5%
i 223
 
6.5%
n 217
 
6.3%
s 198
 
5.8%
a 183
 
5.4%
t 178
 
5.2%
r 143
 
4.2%
d 130
 
3.8%
Other values (59) 1134
33.2%

Violation Points - 17
Categorical

High correlation  Missing 

Distinct3
Distinct (%)4.1%
Missing17318
Missing (%)99.6%
Memory size1.1 MiB
1.0
55 
2.0
12 
3.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters219
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 55
 
0.3%
2.0 12
 
0.1%
3.0 6
 
< 0.1%
(Missing) 17318
99.6%

Length

2025-04-14T23:29:22.830914image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:29:22.898312image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 55
75.3%
2.0 12
 
16.4%
3.0 6
 
8.2%

Most occurring characters

ValueCountFrequency (%)
. 73
33.3%
0 73
33.3%
1 55
25.1%
2 12
 
5.5%
3 6
 
2.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 219
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 73
33.3%
0 73
33.3%
1 55
25.1%
2 12
 
5.5%
3 6
 
2.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 219
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 73
33.3%
0 73
33.3%
1 55
25.1%
2 12
 
5.5%
3 6
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 219
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 73
33.3%
0 73
33.3%
1 55
25.1%
2 12
 
5.5%
3 6
 
2.7%

Violation Detail - 17
Text

Missing 

Distinct46
Distinct (%)63.0%
Missing17318
Missing (%)99.6%
Memory size570.2 KiB
2025-04-14T23:29:23.193871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length545
Median length387
Mean length317.27397
Min length148

Characters and Unicode

Total characters23161
Distinct characters69
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)45.2%

Sample

1st row228.223 REQUIREMENTS APPLICABLE TO CERTAIN ESTABLISHMENTS Bed and Breakfast (j) Food-contact surfaces. All food contact surfaces, counters, or work surfaces in the establishment shall be smooth, non-absorbent and easily cleanable.
2nd row228.80 Food. Consumer advisory. (c) Reminder shall include asterisking the animal-derived foods requiring disclosure to a footnote that states: (2) consuming raw or undercooked meats, poultry, seafood, shellfish, or eggs may increase your risk of foodborne illness.
3rd row228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.
4th row228.175 Physical Facilities. Handwashing Sinks. (c) Hand drying provision. Each handwashing lavatory or group of adjacent lavatories shall be provided with: (1) individual, disposable towels;
5th row228.38 Management and Personnel. (d) When to wash. Food employees shall clean their hands and exposed portions of their arms as specified in subsection (b) of this section immediately before engaging in food preparation including working with exposed food, clean equipment and utensils, and unwrapped single-service and single-use articles and: (8) before donning gloves to initiate a task that involves working with food; and
ValueCountFrequency (%)
and 174
 
5.6%
food 125
 
4.1%
the 95
 
3.1%
of 93
 
3.0%
shall 77
 
2.5%
a 74
 
2.4%
be 72
 
2.3%
in 62
 
2.0%
equipment 61
 
2.0%
or 53
 
1.7%
Other values (598) 2198
71.3%
2025-04-14T23:29:23.832811image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4840
20.9%
e 1861
 
8.0%
i 1443
 
6.2%
n 1372
 
5.9%
a 1337
 
5.8%
s 1320
 
5.7%
o 1220
 
5.3%
t 1211
 
5.2%
r 863
 
3.7%
l 755
 
3.3%
Other values (59) 6939
30.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 23161
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4840
20.9%
e 1861
 
8.0%
i 1443
 
6.2%
n 1372
 
5.9%
a 1337
 
5.8%
s 1320
 
5.7%
o 1220
 
5.3%
t 1211
 
5.2%
r 863
 
3.7%
l 755
 
3.3%
Other values (59) 6939
30.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 23161
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4840
20.9%
e 1861
 
8.0%
i 1443
 
6.2%
n 1372
 
5.9%
a 1337
 
5.8%
s 1320
 
5.7%
o 1220
 
5.3%
t 1211
 
5.2%
r 863
 
3.7%
l 755
 
3.3%
Other values (59) 6939
30.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 23161
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4840
20.9%
e 1861
 
8.0%
i 1443
 
6.2%
n 1372
 
5.9%
a 1337
 
5.8%
s 1320
 
5.7%
o 1220
 
5.3%
t 1211
 
5.2%
r 863
 
3.7%
l 755
 
3.3%
Other values (59) 6939
30.0%

Violation Memo - 17
Text

Missing 

Distinct68
Distinct (%)100.0%
Missing17323
Missing (%)99.6%
Memory size548.5 KiB
2025-04-14T23:29:24.348660image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length225
Median length62
Mean length49.073529
Min length10

Characters and Unicode

Total characters3337
Distinct characters61
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)100.0%

Sample

1st rowREMOVE ALL ABSORBENT MATERIALS ( PAPER TOWELS & WIPING CLOTHES
2nd rowMissing consumer advisory for raw or under cooked warning
3rd rowprovide label for food storage containers
4th rowPROVIDE FOR ALL
5th rowFood (sause) must be covered
ValueCountFrequency (%)
in 17
 
3.0%
sink 15
 
2.7%
and 14
 
2.5%
food 13
 
2.3%
hand 13
 
2.3%
on 12
 
2.1%
the 11
 
2.0%
floor 11
 
2.0%
be 10
 
1.8%
at 9
 
1.6%
Other values (253) 437
77.8%
2025-04-14T23:29:25.093831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
499
 
15.0%
e 254
 
7.6%
o 205
 
6.1%
n 176
 
5.3%
r 150
 
4.5%
i 146
 
4.4%
a 145
 
4.3%
s 139
 
4.2%
t 132
 
4.0%
d 104
 
3.1%
Other values (51) 1387
41.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3337
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
499
 
15.0%
e 254
 
7.6%
o 205
 
6.1%
n 176
 
5.3%
r 150
 
4.5%
i 146
 
4.4%
a 145
 
4.3%
s 139
 
4.2%
t 132
 
4.0%
d 104
 
3.1%
Other values (51) 1387
41.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3337
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
499
 
15.0%
e 254
 
7.6%
o 205
 
6.1%
n 176
 
5.3%
r 150
 
4.5%
i 146
 
4.4%
a 145
 
4.3%
s 139
 
4.2%
t 132
 
4.0%
d 104
 
3.1%
Other values (51) 1387
41.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3337
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
499
 
15.0%
e 254
 
7.6%
o 205
 
6.1%
n 176
 
5.3%
r 150
 
4.5%
i 146
 
4.4%
a 145
 
4.3%
s 139
 
4.2%
t 132
 
4.0%
d 104
 
3.1%
Other values (51) 1387
41.6%
Distinct32
Distinct (%)74.4%
Missing17348
Missing (%)99.8%
Memory size546.7 KiB
2025-04-14T23:29:25.408460image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length54
Mean length49.023256
Min length13

Characters and Unicode

Total characters2108
Distinct characters66
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)53.5%

Sample

1st row*06 Time as PHC: within 4 hours provide written procedures methods of compliance public health contr
2nd row*10 Clean Sight and Touch
3rd row*43 Light bulbs, light shields provided
4th row*14 Wash hands after all other activities
5th row*35 Eating food, chewing gum, drinking beverages, or using tobacco
ValueCountFrequency (%)
food 13
 
3.8%
for 7
 
2.1%
45 6
 
1.8%
other 5
 
1.5%
be 5
 
1.5%
of 5
 
1.5%
5
 
1.5%
shall 5
 
1.5%
waste 4
 
1.2%
in 4
 
1.2%
Other values (184) 280
82.6%
2025-04-14T23:29:25.909310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
303
14.4%
e 181
 
8.6%
o 146
 
6.9%
i 137
 
6.5%
n 117
 
5.6%
t 116
 
5.5%
a 115
 
5.5%
r 110
 
5.2%
s 108
 
5.1%
d 73
 
3.5%
Other values (56) 702
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2108
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
303
14.4%
e 181
 
8.6%
o 146
 
6.9%
i 137
 
6.5%
n 117
 
5.6%
t 116
 
5.5%
a 115
 
5.5%
r 110
 
5.2%
s 108
 
5.1%
d 73
 
3.5%
Other values (56) 702
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2108
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
303
14.4%
e 181
 
8.6%
o 146
 
6.9%
i 137
 
6.5%
n 117
 
5.6%
t 116
 
5.5%
a 115
 
5.5%
r 110
 
5.2%
s 108
 
5.1%
d 73
 
3.5%
Other values (56) 702
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2108
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
303
14.4%
e 181
 
8.6%
o 146
 
6.9%
i 137
 
6.5%
n 117
 
5.6%
t 116
 
5.5%
a 115
 
5.5%
r 110
 
5.2%
s 108
 
5.1%
d 73
 
3.5%
Other values (56) 702
33.3%

Violation Points - 18
Categorical

High correlation  Missing 

Distinct3
Distinct (%)7.0%
Missing17348
Missing (%)99.8%
Memory size1.1 MiB
1.0
30 
3.0
2.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters129
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row3.0
3rd row1.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 30
 
0.2%
3.0 8
 
< 0.1%
2.0 5
 
< 0.1%
(Missing) 17348
99.8%

Length

2025-04-14T23:29:26.011565image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:29:26.087897image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 30
69.8%
3.0 8
 
18.6%
2.0 5
 
11.6%

Most occurring characters

ValueCountFrequency (%)
. 43
33.3%
0 43
33.3%
1 30
23.3%
3 8
 
6.2%
2 5
 
3.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 129
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 43
33.3%
0 43
33.3%
1 30
23.3%
3 8
 
6.2%
2 5
 
3.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 129
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 43
33.3%
0 43
33.3%
1 30
23.3%
3 8
 
6.2%
2 5
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 129
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 43
33.3%
0 43
33.3%
1 30
23.3%
3 8
 
6.2%
2 5
 
3.9%

Violation Detail - 18
Text

Missing 

Distinct31
Distinct (%)75.6%
Missing17350
Missing (%)99.8%
Memory size559.6 KiB
2025-04-14T23:29:26.410246image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length829
Median length391
Mean length366.34146
Min length125

Characters and Unicode

Total characters15020
Distinct characters65
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)56.1%

Sample

1st row228.75 Food. Time and temperature control. (i) Time as a public health control. (1) Except as specified in paragraph (4) of this subsection if time without temperature control is used as the public health control for a working supply of TCS food before cooking, or for ready-to-eat TCS food that is displayed or held for sale or service. Written procedures shall be prepared in advance, maintained in the food establishment and made available to the regulatory authority upon request that specify: (B) methods of compliance with subsection (d) of this section for food that is prepared, cooked, and refrigerated before time is used as a public health control.
2nd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
3rd row228.174 Physical Facilities. Functionality. (a) Light bulbs, protective shielding. (1) Except as specified in paragraph (2) of this subsection, light bulbs shall be shielded, coated, or otherwise shatter-resistant in areas where there is exposed food; clean equipment, utensils, and linens; or unwrapped single-service and single-use articles.
4th row228.38 Management and Personnel. Hands and Arms. (d) When to wash. Food employees shall clean their hands and exposed portions of their arms as specified under subsection (b) of this section immediately before engaging in food preparation including working with exposed food, clean equipment and utensils, and unwrapped single-service and single-use articles and:; (9) after engaging in other activities that contaminate the hands.
5th row228.42 Management and Personnel. Food Contamination Prevention (a) Eating, drinking, or using tobacco. (1) except as specified in paragraph (2) of this subsection, an employee shall eat, drink, or use any form of tobacco only in designated areas where the contamination of exposed food; clean equipment, utensils, and linens; unwrapped single-service and single-use articles; or other items needing protection cannot result.
ValueCountFrequency (%)
and 115
 
5.5%
food 99
 
4.8%
of 63
 
3.0%
the 59
 
2.8%
a 51
 
2.5%
shall 46
 
2.2%
in 44
 
2.1%
be 42
 
2.0%
equipment 35
 
1.7%
or 34
 
1.6%
Other values (440) 1493
71.7%
2025-04-14T23:29:26.900145image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3000
20.0%
e 1303
 
8.7%
a 937
 
6.2%
i 906
 
6.0%
n 856
 
5.7%
o 825
 
5.5%
t 806
 
5.4%
s 804
 
5.4%
r 606
 
4.0%
d 539
 
3.6%
Other values (55) 4438
29.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 15020
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3000
20.0%
e 1303
 
8.7%
a 937
 
6.2%
i 906
 
6.0%
n 856
 
5.7%
o 825
 
5.5%
t 806
 
5.4%
s 804
 
5.4%
r 606
 
4.0%
d 539
 
3.6%
Other values (55) 4438
29.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 15020
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3000
20.0%
e 1303
 
8.7%
a 937
 
6.2%
i 906
 
6.0%
n 856
 
5.7%
o 825
 
5.5%
t 806
 
5.4%
s 804
 
5.4%
r 606
 
4.0%
d 539
 
3.6%
Other values (55) 4438
29.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 15020
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3000
20.0%
e 1303
 
8.7%
a 937
 
6.2%
i 906
 
6.0%
n 856
 
5.7%
o 825
 
5.5%
t 806
 
5.4%
s 804
 
5.4%
r 606
 
4.0%
d 539
 
3.6%
Other values (55) 4438
29.5%

Violation Memo - 18
Text

Missing 

Distinct39
Distinct (%)100.0%
Missing17352
Missing (%)99.8%
Memory size546.6 KiB
2025-04-14T23:29:27.208306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length116
Median length61
Mean length54.794872
Min length16

Characters and Unicode

Total characters2137
Distinct characters59
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)100.0%

Sample

1st rowNo written log of time being used on sushi rice
2nd rowBroken light shield in kitchen
3rd rowobserved open water bottles in kitchen areas and on food contact surfaces. NO DRINKING OR EATING IN KITCHENS.
4th rowProvide cover receptacle in restroom
5th rowProvide trashcan at all hand washing stations
ValueCountFrequency (%)
in 13
 
3.6%
on 10
 
2.8%
the 9
 
2.5%
food 9
 
2.5%
of 7
 
2.0%
and 7
 
2.0%
all 6
 
1.7%
observed 5
 
1.4%
clean 5
 
1.4%
for 5
 
1.4%
Other values (200) 281
78.7%
2025-04-14T23:29:27.642107image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
322
 
15.1%
e 187
 
8.8%
o 133
 
6.2%
t 103
 
4.8%
a 101
 
4.7%
r 98
 
4.6%
n 96
 
4.5%
s 87
 
4.1%
i 83
 
3.9%
l 75
 
3.5%
Other values (49) 852
39.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2137
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
322
 
15.1%
e 187
 
8.8%
o 133
 
6.2%
t 103
 
4.8%
a 101
 
4.7%
r 98
 
4.6%
n 96
 
4.5%
s 87
 
4.1%
i 83
 
3.9%
l 75
 
3.5%
Other values (49) 852
39.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2137
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
322
 
15.1%
e 187
 
8.8%
o 133
 
6.2%
t 103
 
4.8%
a 101
 
4.7%
r 98
 
4.6%
n 96
 
4.5%
s 87
 
4.1%
i 83
 
3.9%
l 75
 
3.5%
Other values (49) 852
39.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2137
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
322
 
15.1%
e 187
 
8.8%
o 133
 
6.2%
t 103
 
4.8%
a 101
 
4.7%
r 98
 
4.6%
n 96
 
4.5%
s 87
 
4.1%
i 83
 
3.9%
l 75
 
3.5%
Other values (49) 852
39.9%
Distinct21
Distinct (%)87.5%
Missing17367
Missing (%)99.9%
Memory size545.3 KiB
2025-04-14T23:29:27.959477image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length96
Median length51
Mean length46.125
Min length21

Characters and Unicode

Total characters1107
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)75.0%

Sample

1st row*43 Clean vent syst:Intake/exhaust air ducts
2nd row*45 Mats / Duckboards nonabsorbent
3rd row*36 Dry wiping cloths and the chemical sanitizing solutions free of food debris and visible soil
4th row*07 Pre-packaged juice- processor HACCP plan
5th row*34 Pest control-routine inspections for
ValueCountFrequency (%)
7
 
4.0%
food 7
 
4.0%
be 3
 
1.7%
shall 3
 
1.7%
premises 3
 
1.7%
45 3
 
1.7%
46 3
 
1.7%
for 3
 
1.7%
in 3
 
1.7%
43 3
 
1.7%
Other values (112) 136
78.2%
2025-04-14T23:29:28.416607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
154
13.9%
e 93
 
8.4%
i 73
 
6.6%
o 71
 
6.4%
s 69
 
6.2%
n 63
 
5.7%
t 62
 
5.6%
a 58
 
5.2%
r 49
 
4.4%
d 37
 
3.3%
Other values (52) 378
34.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1107
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
154
13.9%
e 93
 
8.4%
i 73
 
6.6%
o 71
 
6.4%
s 69
 
6.2%
n 63
 
5.7%
t 62
 
5.6%
a 58
 
5.2%
r 49
 
4.4%
d 37
 
3.3%
Other values (52) 378
34.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1107
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
154
13.9%
e 93
 
8.4%
i 73
 
6.6%
o 71
 
6.4%
s 69
 
6.2%
n 63
 
5.7%
t 62
 
5.6%
a 58
 
5.2%
r 49
 
4.4%
d 37
 
3.3%
Other values (52) 378
34.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1107
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
154
13.9%
e 93
 
8.4%
i 73
 
6.6%
o 71
 
6.4%
s 69
 
6.2%
n 63
 
5.7%
t 62
 
5.6%
a 58
 
5.2%
r 49
 
4.4%
d 37
 
3.3%
Other values (52) 378
34.1%

Violation Points - 19
Categorical

High correlation  Missing 

Distinct3
Distinct (%)12.5%
Missing17367
Missing (%)99.9%
Memory size1.1 MiB
1.0
18 
2.0
3.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters72
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 18
 
0.1%
2.0 4
 
< 0.1%
3.0 2
 
< 0.1%
(Missing) 17367
99.9%

Length

2025-04-14T23:29:28.525764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:29:28.589850image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 18
75.0%
2.0 4
 
16.7%
3.0 2
 
8.3%

Most occurring characters

ValueCountFrequency (%)
. 24
33.3%
0 24
33.3%
1 18
25.0%
2 4
 
5.6%
3 2
 
2.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 72
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 24
33.3%
0 24
33.3%
1 18
25.0%
2 4
 
5.6%
3 2
 
2.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 72
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 24
33.3%
0 24
33.3%
1 18
25.0%
2 4
 
5.6%
3 2
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 72
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 24
33.3%
0 24
33.3%
1 18
25.0%
2 4
 
5.6%
3 2
 
2.8%

Violation Detail - 19
Text

Missing 

Distinct21
Distinct (%)87.5%
Missing17367
Missing (%)99.9%
Memory size552.7 KiB
2025-04-14T23:29:28.838961image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length815
Median length370.5
Mean length351.66667
Min length205

Characters and Unicode

Total characters8440
Distinct characters67
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)75.0%

Sample

1st row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (d) Cleaning ventilation systems, nuisance and discharge prohibition. (1) Intake and exhaust air ducts shall be cleaned and filters changed so they are not a source of contamination by dust, dirt, and other materials.
2nd rowSEC. 17-6.2. ADDITIONAL REQUIREMENTS. (c) Floors, walls, and ceilings. (2) Special requirements for floors. A food establishment shall: (C) use only mats and duckboards that are constructed of nonabsorbent, grease resistant material of a size, design, and construction that permits easy cleaning;
3rd row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (4) dry wiping cloths and the chemical sanitizing solutions specified in paragraph (2)(A) of this subsection in which wet wiping cloths are held between uses shall be free of food debris and visible soil.
4th row228.63 Food Specifications for receiving (g) Juice treated. Prepackaged juice shall (1) be obtained from a processor with a HACCP system as specified in 21 CFR 120, Hazard Analysis and Critical Control (HACCP) Systems;
5th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to minimize their presence within the physical facility and its contents, and on the contiguous land or property under the control of the permit holder by: (2) routinely inspecting the premises for evidence of pests;
ValueCountFrequency (%)
and 67
 
5.8%
food 47
 
4.1%
the 33
 
2.9%
a 27
 
2.3%
shall 27
 
2.3%
of 27
 
2.3%
be 26
 
2.3%
in 23
 
2.0%
equipment 18
 
1.6%
or 17
 
1.5%
Other values (368) 843
73.0%
2025-04-14T23:29:29.236545image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1689
20.0%
e 732
 
8.7%
i 523
 
6.2%
s 500
 
5.9%
a 490
 
5.8%
n 471
 
5.6%
t 436
 
5.2%
o 413
 
4.9%
r 336
 
4.0%
d 300
 
3.6%
Other values (57) 2550
30.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 8440
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1689
20.0%
e 732
 
8.7%
i 523
 
6.2%
s 500
 
5.9%
a 490
 
5.8%
n 471
 
5.6%
t 436
 
5.2%
o 413
 
4.9%
r 336
 
4.0%
d 300
 
3.6%
Other values (57) 2550
30.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 8440
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1689
20.0%
e 732
 
8.7%
i 523
 
6.2%
s 500
 
5.9%
a 490
 
5.8%
n 471
 
5.6%
t 436
 
5.2%
o 413
 
4.9%
r 336
 
4.0%
d 300
 
3.6%
Other values (57) 2550
30.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 8440
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1689
20.0%
e 732
 
8.7%
i 523
 
6.2%
s 500
 
5.9%
a 490
 
5.8%
n 471
 
5.6%
t 436
 
5.2%
o 413
 
4.9%
r 336
 
4.0%
d 300
 
3.6%
Other values (57) 2550
30.2%

Violation Memo - 19
Text

Missing 

Distinct21
Distinct (%)100.0%
Missing17370
Missing (%)99.9%
Memory size545.1 KiB
2025-04-14T23:29:29.559417image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length114
Median length50
Mean length48.619048
Min length17

Characters and Unicode

Total characters1021
Distinct characters55
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st rowAir intake vents soiled
2nd rowdo not use cardboard or non-absorbent materials as floor cover
3rd rowobserved dry cloths with build up of food debris and used to wipe down surfaces.
4th rowNo hazard plan procedure for pre-bottled juices
5th rowFruit flies found upon inspection.
ValueCountFrequency (%)
floor 5
 
2.9%
on 4
 
2.4%
to 4
 
2.4%
need 3
 
1.8%
observed 3
 
1.8%
food 3
 
1.8%
and 3
 
1.8%
with 3
 
1.8%
cover 3
 
1.8%
trash 2
 
1.2%
Other values (119) 137
80.6%
2025-04-14T23:29:29.983893image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
 
14.7%
e 87
 
8.5%
o 66
 
6.5%
r 54
 
5.3%
n 49
 
4.8%
a 45
 
4.4%
s 45
 
4.4%
t 40
 
3.9%
d 38
 
3.7%
l 32
 
3.1%
Other values (45) 415
40.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1021
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
150
 
14.7%
e 87
 
8.5%
o 66
 
6.5%
r 54
 
5.3%
n 49
 
4.8%
a 45
 
4.4%
s 45
 
4.4%
t 40
 
3.9%
d 38
 
3.7%
l 32
 
3.1%
Other values (45) 415
40.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1021
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
150
 
14.7%
e 87
 
8.5%
o 66
 
6.5%
r 54
 
5.3%
n 49
 
4.8%
a 45
 
4.4%
s 45
 
4.4%
t 40
 
3.9%
d 38
 
3.7%
l 32
 
3.1%
Other values (45) 415
40.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1021
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
150
 
14.7%
e 87
 
8.5%
o 66
 
6.5%
r 54
 
5.3%
n 49
 
4.8%
a 45
 
4.4%
s 45
 
4.4%
t 40
 
3.9%
d 38
 
3.7%
l 32
 
3.1%
Other values (45) 415
40.6%
Distinct9
Distinct (%)90.0%
Missing17381
Missing (%)99.9%
Memory size544.2 KiB
2025-04-14T23:29:30.211293image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length50
Median length47
Mean length36
Min length20

Characters and Unicode

Total characters360
Distinct characters50
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)80.0%

Sample

1st row*39 Cooking equipment free of encrusted grease
2nd row*22 Accredited food handler certificate - 60 days
3rd row*10 Clean Sight and Touch
4th row*45 Walls and ceilings, studs, joists, and rafters
5th row*47 Handwashing signage
ValueCountFrequency (%)
47 3
 
5.5%
and 3
 
5.5%
signage 2
 
3.6%
handwashing 2
 
3.6%
45 2
 
3.6%
equipment 1
 
1.8%
cooking 1
 
1.8%
39 1
 
1.8%
encrusted 1
 
1.8%
grease 1
 
1.8%
Other values (38) 38
69.1%
2025-04-14T23:29:30.542109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46
 
12.8%
e 26
 
7.2%
a 25
 
6.9%
n 24
 
6.7%
i 23
 
6.4%
s 22
 
6.1%
d 18
 
5.0%
o 18
 
5.0%
t 16
 
4.4%
r 16
 
4.4%
Other values (40) 126
35.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 360
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
46
 
12.8%
e 26
 
7.2%
a 25
 
6.9%
n 24
 
6.7%
i 23
 
6.4%
s 22
 
6.1%
d 18
 
5.0%
o 18
 
5.0%
t 16
 
4.4%
r 16
 
4.4%
Other values (40) 126
35.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 360
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
46
 
12.8%
e 26
 
7.2%
a 25
 
6.9%
n 24
 
6.7%
i 23
 
6.4%
s 22
 
6.1%
d 18
 
5.0%
o 18
 
5.0%
t 16
 
4.4%
r 16
 
4.4%
Other values (40) 126
35.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 360
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
46
 
12.8%
e 26
 
7.2%
a 25
 
6.9%
n 24
 
6.7%
i 23
 
6.4%
s 22
 
6.1%
d 18
 
5.0%
o 18
 
5.0%
t 16
 
4.4%
r 16
 
4.4%
Other values (40) 126
35.0%

Violation Points - 20
Categorical

High correlation  Missing 

Distinct3
Distinct (%)30.0%
Missing17381
Missing (%)99.9%
Memory size1.1 MiB
1.0
3.0
2.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters30
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)10.0%

Sample

1st row1.0
2nd row2.0
3rd row3.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 7
 
< 0.1%
3.0 2
 
< 0.1%
2.0 1
 
< 0.1%
(Missing) 17381
99.9%

Length

2025-04-14T23:29:30.645695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:29:30.713434image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 7
70.0%
3.0 2
 
20.0%
2.0 1
 
10.0%

Most occurring characters

ValueCountFrequency (%)
. 10
33.3%
0 10
33.3%
1 7
23.3%
3 2
 
6.7%
2 1
 
3.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 30
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 10
33.3%
0 10
33.3%
1 7
23.3%
3 2
 
6.7%
2 1
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 30
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 10
33.3%
0 10
33.3%
1 7
23.3%
3 2
 
6.7%
2 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 30
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 10
33.3%
0 10
33.3%
1 7
23.3%
3 2
 
6.7%
2 1
 
3.3%

Violation Detail - 20
Text

Missing 

Distinct8
Distinct (%)88.9%
Missing17382
Missing (%)99.9%
Memory size546.6 KiB
2025-04-14T23:29:31.018853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length432
Median length271
Mean length278.77778
Min length205

Characters and Unicode

Total characters2509
Distinct characters60
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)77.8%

Sample

1st row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (2) The food-contact surfaces of cooking equipment and pans shall be kept free of encrusted grease deposits and other soil accumulations.
2nd rowõ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.
3rd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
4th row228.173 Physical Facilities. Floors, walls, and ceilings. (h) Walls and ceilings, studs, joists, and rafters. Except for temporary food establishments, studs, joists, and rafters may not be exposed in areas subject to moisture.
5th row228.175 Physical Facilities. Handwashing Sinks. (e) Handwashing signage. A sign or poster that notifies food employees to wash their hands shall be provided at all handwashing sinks used by food employees and shall be clearly visible to food employees.
ValueCountFrequency (%)
and 21
 
6.3%
food 16
 
4.8%
equipment 11
 
3.3%
of 11
 
3.3%
shall 10
 
3.0%
employees 9
 
2.7%
be 9
 
2.7%
utensils 9
 
2.7%
surfaces 8
 
2.4%
to 7
 
2.1%
Other values (134) 220
66.5%
2025-04-14T23:29:31.463732image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
484
19.3%
e 201
 
8.0%
s 171
 
6.8%
a 148
 
5.9%
n 144
 
5.7%
o 136
 
5.4%
i 134
 
5.3%
t 125
 
5.0%
l 95
 
3.8%
d 86
 
3.4%
Other values (50) 785
31.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2509
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
484
19.3%
e 201
 
8.0%
s 171
 
6.8%
a 148
 
5.9%
n 144
 
5.7%
o 136
 
5.4%
i 134
 
5.3%
t 125
 
5.0%
l 95
 
3.8%
d 86
 
3.4%
Other values (50) 785
31.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2509
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
484
19.3%
e 201
 
8.0%
s 171
 
6.8%
a 148
 
5.9%
n 144
 
5.7%
o 136
 
5.4%
i 134
 
5.3%
t 125
 
5.0%
l 95
 
3.8%
d 86
 
3.4%
Other values (50) 785
31.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2509
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
484
19.3%
e 201
 
8.0%
s 171
 
6.8%
a 148
 
5.9%
n 144
 
5.7%
o 136
 
5.4%
i 134
 
5.3%
t 125
 
5.0%
l 95
 
3.8%
d 86
 
3.4%
Other values (50) 785
31.3%

Violation Memo - 20
Text

Missing 

Distinct10
Distinct (%)100.0%
Missing17381
Missing (%)99.9%
Memory size544.3 KiB
2025-04-14T23:29:31.686121image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length79
Median length46.5
Mean length45.6
Min length22

Characters and Unicode

Total characters456
Distinct characters45
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)100.0%

Sample

1st rowClean grease off of cooking equipment
2nd rowno available food hand cards onsite.
3rd rowClean inside of ice machine and inside of RIC on gaskets
4th rowHole in wall in the bathroom.
5th rowNo hand washing signs.
ValueCountFrequency (%)
hand 5
 
6.4%
no 3
 
3.8%
of 3
 
3.8%
clean 2
 
2.6%
food 2
 
2.6%
inside 2
 
2.6%
available 2
 
2.6%
on 2
 
2.6%
in 2
 
2.6%
washing 2
 
2.6%
Other values (51) 53
67.9%
2025-04-14T23:29:32.012573image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
15.4%
e 32
 
7.0%
n 30
 
6.6%
i 30
 
6.6%
o 28
 
6.1%
a 28
 
6.1%
s 25
 
5.5%
t 19
 
4.2%
l 16
 
3.5%
h 15
 
3.3%
Other values (35) 163
35.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 456
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
70
15.4%
e 32
 
7.0%
n 30
 
6.6%
i 30
 
6.6%
o 28
 
6.1%
a 28
 
6.1%
s 25
 
5.5%
t 19
 
4.2%
l 16
 
3.5%
h 15
 
3.3%
Other values (35) 163
35.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 456
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
70
15.4%
e 32
 
7.0%
n 30
 
6.6%
i 30
 
6.6%
o 28
 
6.1%
a 28
 
6.1%
s 25
 
5.5%
t 19
 
4.2%
l 16
 
3.5%
h 15
 
3.3%
Other values (35) 163
35.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 456
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
70
15.4%
e 32
 
7.0%
n 30
 
6.6%
i 30
 
6.6%
o 28
 
6.1%
a 28
 
6.1%
s 25
 
5.5%
t 19
 
4.2%
l 16
 
3.5%
h 15
 
3.3%
Other values (35) 163
35.7%
Distinct5
Distinct (%)83.3%
Missing17385
Missing (%)> 99.9%
Memory size543.9 KiB
2025-04-14T23:29:32.199321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length49
Median length38.5
Mean length31.5
Min length20

Characters and Unicode

Total characters189
Distinct characters41
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)66.7%

Sample

1st row*22 Accredited food handler certificate - 60 days
2nd row*20 Grease Trap Tickets
3rd row*47 Other Violations
4th row*43 Clean vent syst:Intake/exhaust air ducts
5th row*31 Individual, disposable towels
ValueCountFrequency (%)
47 2
 
7.1%
other 2
 
7.1%
violations 2
 
7.1%
22 1
 
3.6%
accredited 1
 
3.6%
food 1
 
3.6%
handler 1
 
3.6%
certificate 1
 
3.6%
1
 
3.6%
60 1
 
3.6%
Other values (15) 15
53.6%
2025-04-14T23:29:32.495095image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
11.6%
e 16
 
8.5%
t 14
 
7.4%
a 13
 
6.9%
i 12
 
6.3%
s 12
 
6.3%
d 9
 
4.8%
r 8
 
4.2%
o 8
 
4.2%
l 7
 
3.7%
Other values (31) 68
36.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 189
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
22
 
11.6%
e 16
 
8.5%
t 14
 
7.4%
a 13
 
6.9%
i 12
 
6.3%
s 12
 
6.3%
d 9
 
4.8%
r 8
 
4.2%
o 8
 
4.2%
l 7
 
3.7%
Other values (31) 68
36.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 189
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
22
 
11.6%
e 16
 
8.5%
t 14
 
7.4%
a 13
 
6.9%
i 12
 
6.3%
s 12
 
6.3%
d 9
 
4.8%
r 8
 
4.2%
o 8
 
4.2%
l 7
 
3.7%
Other values (31) 68
36.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 189
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
22
 
11.6%
e 16
 
8.5%
t 14
 
7.4%
a 13
 
6.9%
i 12
 
6.3%
s 12
 
6.3%
d 9
 
4.8%
r 8
 
4.2%
o 8
 
4.2%
l 7
 
3.7%
Other values (31) 68
36.0%

Violation Points - 21
Categorical

High correlation  Missing 

Distinct3
Distinct (%)50.0%
Missing17385
Missing (%)> 99.9%
Memory size1.1 MiB
1.0
2.0
3.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)16.7%

Sample

1st row2.0
2nd row3.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 3
 
< 0.1%
2.0 2
 
< 0.1%
3.0 1
 
< 0.1%
(Missing) 17385
> 99.9%

Length

2025-04-14T23:29:32.596335image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:29:32.663473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3
50.0%
2.0 2
33.3%
3.0 1
 
16.7%

Most occurring characters

ValueCountFrequency (%)
. 6
33.3%
0 6
33.3%
1 3
16.7%
2 2
 
11.1%
3 1
 
5.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 18
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 6
33.3%
0 6
33.3%
1 3
16.7%
2 2
 
11.1%
3 1
 
5.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 18
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 6
33.3%
0 6
33.3%
1 3
16.7%
2 2
 
11.1%
3 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 18
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 6
33.3%
0 6
33.3%
1 3
16.7%
2 2
 
11.1%
3 1
 
5.6%

Violation Detail - 21
Text

Missing 

Distinct4
Distinct (%)100.0%
Missing17387
Missing (%)> 99.9%
Memory size545.1 KiB
2025-04-14T23:29:32.940561image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length356
Median length273.5
Mean length280.75
Min length220

Characters and Unicode

Total characters1123
Distinct characters55
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st rowõ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.
2nd rowCh.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.
3rd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (d) Cleaning ventilation systems, nuisance and discharge prohibition. (1) Intake and exhaust air ducts shall be cleaned and filters changed so they are not a source of contamination by dust, dirt, and other materials.
4th row228.175 Physical Facilities. Handwashing Sinks. (c) Hand drying provision. Each handwashing lavatory or group of adjacent lavatories shall be provided with: (1) individual, disposable towels;
ValueCountFrequency (%)
and 8
 
5.2%
food 6
 
3.9%
the 6
 
3.9%
a 5
 
3.2%
shall 5
 
3.2%
of 4
 
2.6%
handler 2
 
1.3%
all 2
 
1.3%
d 2
 
1.3%
by 2
 
1.3%
Other values (102) 113
72.9%
2025-04-14T23:29:33.349283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
214
19.1%
e 90
 
8.0%
a 76
 
6.8%
i 66
 
5.9%
s 63
 
5.6%
t 61
 
5.4%
n 56
 
5.0%
o 55
 
4.9%
r 53
 
4.7%
d 47
 
4.2%
Other values (45) 342
30.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1123
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
214
19.1%
e 90
 
8.0%
a 76
 
6.8%
i 66
 
5.9%
s 63
 
5.6%
t 61
 
5.4%
n 56
 
5.0%
o 55
 
4.9%
r 53
 
4.7%
d 47
 
4.2%
Other values (45) 342
30.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1123
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
214
19.1%
e 90
 
8.0%
a 76
 
6.8%
i 66
 
5.9%
s 63
 
5.6%
t 61
 
5.4%
n 56
 
5.0%
o 55
 
4.9%
r 53
 
4.7%
d 47
 
4.2%
Other values (45) 342
30.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1123
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
214
19.1%
e 90
 
8.0%
a 76
 
6.8%
i 66
 
5.9%
s 63
 
5.6%
t 61
 
5.4%
n 56
 
5.0%
o 55
 
4.9%
r 53
 
4.7%
d 47
 
4.2%
Other values (45) 342
30.5%

Violation Memo - 21
Text

Missing 

Distinct6
Distinct (%)100.0%
Missing17385
Missing (%)> 99.9%
Memory size544.0 KiB
2025-04-14T23:29:33.546904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length75
Median length43.5
Mean length46.5
Min length20

Characters and Unicode

Total characters279
Distinct characters43
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st rowFood handlers certificates must be provided for all food handling employees
2nd rowgrease trap paper work not onsite
3rd rowNo choking poster, sign saying that can provide health inspection report.
4th rowSoiled kitchen air vents
5th rowprovide paper towels
ValueCountFrequency (%)
provide 3
 
7.3%
paper 2
 
4.9%
food 2
 
4.9%
handlers 1
 
2.4%
certificates 1
 
2.4%
be 1
 
2.4%
must 1
 
2.4%
all 1
 
2.4%
provided 1
 
2.4%
handling 1
 
2.4%
Other values (27) 27
65.9%
2025-04-14T23:29:33.835196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
12.5%
e 23
 
8.2%
o 19
 
6.8%
r 15
 
5.4%
t 15
 
5.4%
i 15
 
5.4%
a 13
 
4.7%
n 13
 
4.7%
p 12
 
4.3%
s 12
 
4.3%
Other values (33) 107
38.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 279
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
35
 
12.5%
e 23
 
8.2%
o 19
 
6.8%
r 15
 
5.4%
t 15
 
5.4%
i 15
 
5.4%
a 13
 
4.7%
n 13
 
4.7%
p 12
 
4.3%
s 12
 
4.3%
Other values (33) 107
38.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 279
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
35
 
12.5%
e 23
 
8.2%
o 19
 
6.8%
r 15
 
5.4%
t 15
 
5.4%
i 15
 
5.4%
a 13
 
4.7%
n 13
 
4.7%
p 12
 
4.3%
s 12
 
4.3%
Other values (33) 107
38.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 279
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
35
 
12.5%
e 23
 
8.2%
o 19
 
6.8%
r 15
 
5.4%
t 15
 
5.4%
i 15
 
5.4%
a 13
 
4.7%
n 13
 
4.7%
p 12
 
4.3%
s 12
 
4.3%
Other values (33) 107
38.4%
Distinct3
Distinct (%)100.0%
Missing17388
Missing (%)> 99.9%
Memory size543.9 KiB
2025-04-14T23:29:34.008479image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length49
Mean length65.666667
Min length48

Characters and Unicode

Total characters197
Distinct characters35
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row*31 Handwashing lavatory - used for other purpose
2nd row*25 Controlling pests. The presence of insects, rodents, and other pests shall be controlled to elim
3rd row*45 Premises shall be maintained in good repair
ValueCountFrequency (%)
pests 2
 
6.2%
other 2
 
6.2%
shall 2
 
6.2%
be 2
 
6.2%
1
 
3.1%
lavatory 1
 
3.1%
for 1
 
3.1%
used 1
 
3.1%
purpose 1
 
3.1%
25 1
 
3.1%
Other values (18) 18
56.2%
2025-04-14T23:29:34.269151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
15.2%
e 20
 
10.2%
s 15
 
7.6%
o 14
 
7.1%
r 12
 
6.1%
n 12
 
6.1%
t 11
 
5.6%
a 10
 
5.1%
l 10
 
5.1%
i 9
 
4.6%
Other values (25) 54
27.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 197
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
30
15.2%
e 20
 
10.2%
s 15
 
7.6%
o 14
 
7.1%
r 12
 
6.1%
n 12
 
6.1%
t 11
 
5.6%
a 10
 
5.1%
l 10
 
5.1%
i 9
 
4.6%
Other values (25) 54
27.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 197
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
30
15.2%
e 20
 
10.2%
s 15
 
7.6%
o 14
 
7.1%
r 12
 
6.1%
n 12
 
6.1%
t 11
 
5.6%
a 10
 
5.1%
l 10
 
5.1%
i 9
 
4.6%
Other values (25) 54
27.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 197
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
30
15.2%
e 20
 
10.2%
s 15
 
7.6%
o 14
 
7.1%
r 12
 
6.1%
n 12
 
6.1%
t 11
 
5.6%
a 10
 
5.1%
l 10
 
5.1%
i 9
 
4.6%
Other values (25) 54
27.4%

Violation Points - 22
Categorical

High correlation  Missing 

Distinct2
Distinct (%)66.7%
Missing17388
Missing (%)> 99.9%
Memory size1.1 MiB
2.0
1.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row2.0
2nd row2.0
3rd row1.0

Common Values

ValueCountFrequency (%)
2.0 2
 
< 0.1%
1.0 1
 
< 0.1%
(Missing) 17388
> 99.9%

Length

2025-04-14T23:29:34.376985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:29:34.441060image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2.0 2
66.7%
1.0 1
33.3%

Most occurring characters

ValueCountFrequency (%)
. 3
33.3%
0 3
33.3%
2 2
22.2%
1 1
 
11.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 9
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 3
33.3%
0 3
33.3%
2 2
22.2%
1 1
 
11.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 9
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 3
33.3%
0 3
33.3%
2 2
22.2%
1 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 9
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 3
33.3%
0 3
33.3%
2 2
22.2%
1 1
 
11.1%

Violation Detail - 22
Text

Missing 

Distinct3
Distinct (%)100.0%
Missing17388
Missing (%)> 99.9%
Memory size545.0 KiB
2025-04-14T23:29:34.634926image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length451
Median length214
Mean length290
Min length205

Characters and Unicode

Total characters870
Distinct characters48
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (a) Using a handwashing facility. (2) A handwashing facility may not be used for purposes other than handwashing.
2nd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to eliminate their presence on the premises by: (3) using methods, if pests are found, such as trapping devices or other means of pest control as specified in õ228.204(b) and õ228.208(b) and (c) of this title; and
3rd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
ValueCountFrequency (%)
and 8
 
7.1%
a 4
 
3.5%
be 3
 
2.7%
handwashing 3
 
2.7%
other 3
 
2.7%
the 3
 
2.7%
of 3
 
2.7%
pests 3
 
2.7%
physical 3
 
2.7%
devices 3
 
2.7%
Other values (59) 77
68.1%
2025-04-14T23:29:34.950373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
192
22.1%
e 66
 
7.6%
s 59
 
6.8%
i 59
 
6.8%
a 48
 
5.5%
n 46
 
5.3%
t 41
 
4.7%
r 29
 
3.3%
o 29
 
3.3%
l 25
 
2.9%
Other values (38) 276
31.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 870
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
192
22.1%
e 66
 
7.6%
s 59
 
6.8%
i 59
 
6.8%
a 48
 
5.5%
n 46
 
5.3%
t 41
 
4.7%
r 29
 
3.3%
o 29
 
3.3%
l 25
 
2.9%
Other values (38) 276
31.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 870
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
192
22.1%
e 66
 
7.6%
s 59
 
6.8%
i 59
 
6.8%
a 48
 
5.5%
n 46
 
5.3%
t 41
 
4.7%
r 29
 
3.3%
o 29
 
3.3%
l 25
 
2.9%
Other values (38) 276
31.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 870
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
192
22.1%
e 66
 
7.6%
s 59
 
6.8%
i 59
 
6.8%
a 48
 
5.5%
n 46
 
5.3%
t 41
 
4.7%
r 29
 
3.3%
o 29
 
3.3%
l 25
 
2.9%
Other values (38) 276
31.7%

Violation Memo - 22
Text

Missing 

Distinct3
Distinct (%)100.0%
Missing17388
Missing (%)> 99.9%
Memory size543.8 KiB
2025-04-14T23:29:35.120907image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length109
Median length38
Mean length58.666667
Min length29

Characters and Unicode

Total characters176
Distinct characters22
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowDo not store items in hand sink, waste lines running through hand sink, washing utensils in hand washing sink
2nd rowpest control paper not onsite
3rd rowMultiple damaged kitchen ceiling tiles
ValueCountFrequency (%)
hand 3
 
10.3%
sink 3
 
10.3%
in 2
 
6.9%
not 2
 
6.9%
washing 2
 
6.9%
do 1
 
3.4%
store 1
 
3.4%
items 1
 
3.4%
lines 1
 
3.4%
waste 1
 
3.4%
Other values (12) 12
41.4%
2025-04-14T23:29:35.391895image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
14.8%
n 21
11.9%
i 17
9.7%
s 14
 
8.0%
e 13
 
7.4%
t 13
 
7.4%
a 9
 
5.1%
o 8
 
4.5%
h 8
 
4.5%
l 7
 
4.0%
Other values (12) 40
22.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 176
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
26
14.8%
n 21
11.9%
i 17
9.7%
s 14
 
8.0%
e 13
 
7.4%
t 13
 
7.4%
a 9
 
5.1%
o 8
 
4.5%
h 8
 
4.5%
l 7
 
4.0%
Other values (12) 40
22.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 176
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
26
14.8%
n 21
11.9%
i 17
9.7%
s 14
 
8.0%
e 13
 
7.4%
t 13
 
7.4%
a 9
 
5.1%
o 8
 
4.5%
h 8
 
4.5%
l 7
 
4.0%
Other values (12) 40
22.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 176
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
26
14.8%
n 21
11.9%
i 17
9.7%
s 14
 
8.0%
e 13
 
7.4%
t 13
 
7.4%
a 9
 
5.1%
o 8
 
4.5%
h 8
 
4.5%
l 7
 
4.0%
Other values (12) 40
22.7%

Violation Description - 23
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing17390
Missing (%)> 99.9%
Memory size543.7 KiB
2025-04-14T23:29:35.536327image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length46
Median length46
Mean length46
Min length46

Characters and Unicode

Total characters46
Distinct characters23
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row*19 Water & Plumbing in good repair- per code
ValueCountFrequency (%)
19 1
11.1%
water 1
11.1%
1
11.1%
plumbing 1
11.1%
in 1
11.1%
good 1
11.1%
repair 1
11.1%
per 1
11.1%
code 1
11.1%
2025-04-14T23:29:35.771909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
19.6%
r 4
 
8.7%
e 4
 
8.7%
i 3
 
6.5%
o 3
 
6.5%
a 2
 
4.3%
g 2
 
4.3%
p 2
 
4.3%
n 2
 
4.3%
d 2
 
4.3%
Other values (13) 13
28.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 46
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9
19.6%
r 4
 
8.7%
e 4
 
8.7%
i 3
 
6.5%
o 3
 
6.5%
a 2
 
4.3%
g 2
 
4.3%
p 2
 
4.3%
n 2
 
4.3%
d 2
 
4.3%
Other values (13) 13
28.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 46
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9
19.6%
r 4
 
8.7%
e 4
 
8.7%
i 3
 
6.5%
o 3
 
6.5%
a 2
 
4.3%
g 2
 
4.3%
p 2
 
4.3%
n 2
 
4.3%
d 2
 
4.3%
Other values (13) 13
28.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 46
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9
19.6%
r 4
 
8.7%
e 4
 
8.7%
i 3
 
6.5%
o 3
 
6.5%
a 2
 
4.3%
g 2
 
4.3%
p 2
 
4.3%
n 2
 
4.3%
d 2
 
4.3%
Other values (13) 13
28.3%

Violation Points - 23
Categorical

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing17390
Missing (%)> 99.9%
Memory size1.1 MiB
3.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row3.0

Common Values

ValueCountFrequency (%)
3.0 1
 
< 0.1%
(Missing) 17390
> 99.9%

Length

2025-04-14T23:29:35.863824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:29:35.921400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
3.0 1
100.0%

Most occurring characters

ValueCountFrequency (%)
3 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3 1
33.3%
. 1
33.3%
0 1
33.3%

Violation Detail - 23
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing17390
Missing (%)> 99.9%
Memory size543.8 KiB
2025-04-14T23:29:36.105207image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length217
Median length217
Mean length217
Min length217

Characters and Unicode

Total characters217
Distinct characters35
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; and
ValueCountFrequency (%)
plumbing 4
 
14.3%
and 3
 
10.7%
system 2
 
7.1%
water 1
 
3.6%
waste 1
 
3.6%
228.149 1
 
3.6%
operation 1
 
3.6%
maintenance 1
 
3.6%
e 1
 
3.6%
maintained 1
 
3.6%
Other values (12) 12
42.9%
2025-04-14T23:29:36.472838image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57
26.3%
e 15
 
6.9%
n 15
 
6.9%
a 14
 
6.5%
i 12
 
5.5%
t 9
 
4.1%
d 8
 
3.7%
m 8
 
3.7%
r 7
 
3.2%
o 7
 
3.2%
Other values (25) 65
30.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 217
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
57
26.3%
e 15
 
6.9%
n 15
 
6.9%
a 14
 
6.5%
i 12
 
5.5%
t 9
 
4.1%
d 8
 
3.7%
m 8
 
3.7%
r 7
 
3.2%
o 7
 
3.2%
Other values (25) 65
30.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 217
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
57
26.3%
e 15
 
6.9%
n 15
 
6.9%
a 14
 
6.5%
i 12
 
5.5%
t 9
 
4.1%
d 8
 
3.7%
m 8
 
3.7%
r 7
 
3.2%
o 7
 
3.2%
Other values (25) 65
30.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 217
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
57
26.3%
e 15
 
6.9%
n 15
 
6.9%
a 14
 
6.5%
i 12
 
5.5%
t 9
 
4.1%
d 8
 
3.7%
m 8
 
3.7%
r 7
 
3.2%
o 7
 
3.2%
Other values (25) 65
30.0%

Violation Memo - 23
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing17390
Missing (%)> 99.9%
Memory size543.7 KiB
2025-04-14T23:29:36.674551image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters18
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowfix handsink in women's bathroom
ValueCountFrequency (%)
fix 1
20.0%
handsink 1
20.0%
in 1
20.0%
women's 1
20.0%
bathroom 1
20.0%
2025-04-14T23:29:36.992671image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 4
12.5%
4
12.5%
o 3
 
9.4%
i 3
 
9.4%
s 2
 
6.2%
a 2
 
6.2%
m 2
 
6.2%
h 2
 
6.2%
f 1
 
3.1%
x 1
 
3.1%
Other values (8) 8
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 32
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 4
12.5%
4
12.5%
o 3
 
9.4%
i 3
 
9.4%
s 2
 
6.2%
a 2
 
6.2%
m 2
 
6.2%
h 2
 
6.2%
f 1
 
3.1%
x 1
 
3.1%
Other values (8) 8
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 32
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 4
12.5%
4
12.5%
o 3
 
9.4%
i 3
 
9.4%
s 2
 
6.2%
a 2
 
6.2%
m 2
 
6.2%
h 2
 
6.2%
f 1
 
3.1%
x 1
 
3.1%
Other values (8) 8
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 32
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 4
12.5%
4
12.5%
o 3
 
9.4%
i 3
 
9.4%
s 2
 
6.2%
a 2
 
6.2%
m 2
 
6.2%
h 2
 
6.2%
f 1
 
3.1%
x 1
 
3.1%
Other values (8) 8
25.0%

Violation Description - 24
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing17390
Missing (%)> 99.9%
Memory size543.7 KiB
2025-04-14T23:29:37.197144image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length48
Median length48
Mean length48
Min length48

Characters and Unicode

Total characters48
Distinct characters22
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row*36 Cloths in-use for wiping between uses stored
ValueCountFrequency (%)
36 1
12.5%
cloths 1
12.5%
in-use 1
12.5%
for 1
12.5%
wiping 1
12.5%
between 1
12.5%
uses 1
12.5%
stored 1
12.5%
2025-04-14T23:29:37.535387image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7
14.6%
e 6
12.5%
s 5
10.4%
t 3
 
6.2%
o 3
 
6.2%
n 3
 
6.2%
i 3
 
6.2%
w 2
 
4.2%
r 2
 
4.2%
u 2
 
4.2%
Other values (12) 12
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 48
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
7
14.6%
e 6
12.5%
s 5
10.4%
t 3
 
6.2%
o 3
 
6.2%
n 3
 
6.2%
i 3
 
6.2%
w 2
 
4.2%
r 2
 
4.2%
u 2
 
4.2%
Other values (12) 12
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 48
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
7
14.6%
e 6
12.5%
s 5
10.4%
t 3
 
6.2%
o 3
 
6.2%
n 3
 
6.2%
i 3
 
6.2%
w 2
 
4.2%
r 2
 
4.2%
u 2
 
4.2%
Other values (12) 12
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 48
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
7
14.6%
e 6
12.5%
s 5
10.4%
t 3
 
6.2%
o 3
 
6.2%
n 3
 
6.2%
i 3
 
6.2%
w 2
 
4.2%
r 2
 
4.2%
u 2
 
4.2%
Other values (12) 12
25.0%

Violation Points - 24
Categorical

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing17390
Missing (%)> 99.9%
Memory size1.1 MiB
1.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row1.0

Common Values

ValueCountFrequency (%)
1.0 1
 
< 0.1%
(Missing) 17390
> 99.9%

Length

2025-04-14T23:29:37.685008image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:29:37.772391image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1
100.0%

Most occurring characters

ValueCountFrequency (%)
1 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 1
33.3%
. 1
33.3%
0 1
33.3%

Violation Detail - 24
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing17390
Missing (%)> 99.9%
Memory size544.3 KiB
2025-04-14T23:29:37.987943image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length340
Median length340
Mean length340
Min length340

Characters and Unicode

Total characters340
Distinct characters43
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; and
ValueCountFrequency (%)
and 3
 
6.7%
a 3
 
6.7%
cloths 2
 
4.4%
equipment 2
 
4.4%
in 2
 
4.4%
wiping 2
 
4.4%
from 1
 
2.2%
preventing 1
 
2.2%
food 1
 
2.2%
228.68 1
 
2.2%
Other values (27) 27
60.0%
2025-04-14T23:29:38.422354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
79
23.2%
n 27
 
7.9%
i 26
 
7.6%
e 24
 
7.1%
t 21
 
6.2%
s 17
 
5.0%
o 16
 
4.7%
a 14
 
4.1%
l 10
 
2.9%
c 9
 
2.6%
Other values (33) 97
28.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 340
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
79
23.2%
n 27
 
7.9%
i 26
 
7.6%
e 24
 
7.1%
t 21
 
6.2%
s 17
 
5.0%
o 16
 
4.7%
a 14
 
4.1%
l 10
 
2.9%
c 9
 
2.6%
Other values (33) 97
28.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 340
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
79
23.2%
n 27
 
7.9%
i 26
 
7.6%
e 24
 
7.1%
t 21
 
6.2%
s 17
 
5.0%
o 16
 
4.7%
a 14
 
4.1%
l 10
 
2.9%
c 9
 
2.6%
Other values (33) 97
28.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 340
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
79
23.2%
n 27
 
7.9%
i 26
 
7.6%
e 24
 
7.1%
t 21
 
6.2%
s 17
 
5.0%
o 16
 
4.7%
a 14
 
4.1%
l 10
 
2.9%
c 9
 
2.6%
Other values (33) 97
28.5%

Violation Memo - 24
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing17390
Missing (%)> 99.9%
Memory size543.7 KiB
2025-04-14T23:29:38.646350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length44
Median length44
Mean length44
Min length44

Characters and Unicode

Total characters44
Distinct characters18
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowStore wet wiping cloth in sanitizer solution
ValueCountFrequency (%)
store 1
14.3%
wet 1
14.3%
wiping 1
14.3%
cloth 1
14.3%
in 1
14.3%
sanitizer 1
14.3%
solution 1
14.3%
2025-04-14T23:29:38.877218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 6
13.6%
6
13.6%
t 5
11.4%
n 4
9.1%
o 4
9.1%
e 3
 
6.8%
s 2
 
4.5%
r 2
 
4.5%
w 2
 
4.5%
l 2
 
4.5%
Other values (8) 8
18.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 44
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 6
13.6%
6
13.6%
t 5
11.4%
n 4
9.1%
o 4
9.1%
e 3
 
6.8%
s 2
 
4.5%
r 2
 
4.5%
w 2
 
4.5%
l 2
 
4.5%
Other values (8) 8
18.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 44
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 6
13.6%
6
13.6%
t 5
11.4%
n 4
9.1%
o 4
9.1%
e 3
 
6.8%
s 2
 
4.5%
r 2
 
4.5%
w 2
 
4.5%
l 2
 
4.5%
Other values (8) 8
18.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 44
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 6
13.6%
6
13.6%
t 5
11.4%
n 4
9.1%
o 4
9.1%
e 3
 
6.8%
s 2
 
4.5%
r 2
 
4.5%
w 2
 
4.5%
l 2
 
4.5%
Other values (8) 8
18.2%

Violation Description - 25
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing17390
Missing (%)> 99.9%
Memory size543.7 KiB
2025-04-14T23:29:39.011258image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length34
Median length34
Mean length34
Min length34

Characters and Unicode

Total characters34
Distinct characters18
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row*42 Dirty nonfood contact surfaces
ValueCountFrequency (%)
42 1
20.0%
dirty 1
20.0%
nonfood 1
20.0%
contact 1
20.0%
surfaces 1
20.0%
2025-04-14T23:29:39.232879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 4
11.8%
4
11.8%
c 3
 
8.8%
t 3
 
8.8%
n 3
 
8.8%
f 2
 
5.9%
s 2
 
5.9%
r 2
 
5.9%
a 2
 
5.9%
* 1
 
2.9%
Other values (8) 8
23.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 34
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 4
11.8%
4
11.8%
c 3
 
8.8%
t 3
 
8.8%
n 3
 
8.8%
f 2
 
5.9%
s 2
 
5.9%
r 2
 
5.9%
a 2
 
5.9%
* 1
 
2.9%
Other values (8) 8
23.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 34
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 4
11.8%
4
11.8%
c 3
 
8.8%
t 3
 
8.8%
n 3
 
8.8%
f 2
 
5.9%
s 2
 
5.9%
r 2
 
5.9%
a 2
 
5.9%
* 1
 
2.9%
Other values (8) 8
23.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 34
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 4
11.8%
4
11.8%
c 3
 
8.8%
t 3
 
8.8%
n 3
 
8.8%
f 2
 
5.9%
s 2
 
5.9%
r 2
 
5.9%
a 2
 
5.9%
* 1
 
2.9%
Other values (8) 8
23.5%

Violation Points - 25
Categorical

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing17390
Missing (%)> 99.9%
Memory size1.1 MiB
1.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row1.0

Common Values

ValueCountFrequency (%)
1.0 1
 
< 0.1%
(Missing) 17390
> 99.9%

Length

2025-04-14T23:29:39.332659image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:29:39.387585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1
100.0%

Most occurring characters

ValueCountFrequency (%)
1 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 1
33.3%
. 1
33.3%
0 1
33.3%

Violation Detail - 25
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing17390
Missing (%)> 99.9%
Memory size543.8 KiB
2025-04-14T23:29:39.524526image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length222
Median length222
Mean length222
Min length222

Characters and Unicode

Total characters222
Distinct characters35
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
ValueCountFrequency (%)
of 4
 
13.3%
equipment 3
 
10.0%
and 3
 
10.0%
utensils 2
 
6.7%
linens 1
 
3.3%
228.113 1
 
3.3%
cleaning 1
 
3.3%
3 1
 
3.3%
nonfood-contact 1
 
3.3%
surfaces 1
 
3.3%
Other values (12) 12
40.0%
2025-04-14T23:29:39.779938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
21.6%
e 18
 
8.1%
n 16
 
7.2%
o 12
 
5.4%
t 12
 
5.4%
i 11
 
5.0%
s 11
 
5.0%
a 10
 
4.5%
u 9
 
4.1%
d 9
 
4.1%
Other values (25) 66
29.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 222
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
48
21.6%
e 18
 
8.1%
n 16
 
7.2%
o 12
 
5.4%
t 12
 
5.4%
i 11
 
5.0%
s 11
 
5.0%
a 10
 
4.5%
u 9
 
4.1%
d 9
 
4.1%
Other values (25) 66
29.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 222
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
48
21.6%
e 18
 
8.1%
n 16
 
7.2%
o 12
 
5.4%
t 12
 
5.4%
i 11
 
5.0%
s 11
 
5.0%
a 10
 
4.5%
u 9
 
4.1%
d 9
 
4.1%
Other values (25) 66
29.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 222
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
48
21.6%
e 18
 
8.1%
n 16
 
7.2%
o 12
 
5.4%
t 12
 
5.4%
i 11
 
5.0%
s 11
 
5.0%
a 10
 
4.5%
u 9
 
4.1%
d 9
 
4.1%
Other values (25) 66
29.7%

Violation Memo - 25
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing17390
Missing (%)> 99.9%
Memory size543.8 KiB
2025-04-14T23:29:39.941811image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length171
Median length171
Mean length171
Min length171

Characters and Unicode

Total characters171
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowDirty dust on fans and vents above food prep areas and counters. dirty food containers, outside RIC doors, stoves, ovens, walls, vents, vent filters. Ice on freezer floor.
ValueCountFrequency (%)
dirty 2
 
7.1%
on 2
 
7.1%
and 2
 
7.1%
vents 2
 
7.1%
food 2
 
7.1%
fans 1
 
3.6%
dust 1
 
3.6%
above 1
 
3.6%
prep 1
 
3.6%
areas 1
 
3.6%
Other values (13) 13
46.4%
2025-04-14T23:29:40.197739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
15.8%
o 16
 
9.4%
e 16
 
9.4%
s 14
 
8.2%
n 12
 
7.0%
r 11
 
6.4%
t 11
 
6.4%
a 8
 
4.7%
d 8
 
4.7%
f 6
 
3.5%
Other values (16) 42
24.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 171
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
27
15.8%
o 16
 
9.4%
e 16
 
9.4%
s 14
 
8.2%
n 12
 
7.0%
r 11
 
6.4%
t 11
 
6.4%
a 8
 
4.7%
d 8
 
4.7%
f 6
 
3.5%
Other values (16) 42
24.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 171
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
27
15.8%
o 16
 
9.4%
e 16
 
9.4%
s 14
 
8.2%
n 12
 
7.0%
r 11
 
6.4%
t 11
 
6.4%
a 8
 
4.7%
d 8
 
4.7%
f 6
 
3.5%
Other values (16) 42
24.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 171
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
27
15.8%
o 16
 
9.4%
e 16
 
9.4%
s 14
 
8.2%
n 12
 
7.0%
r 11
 
6.4%
t 11
 
6.4%
a 8
 
4.7%
d 8
 
4.7%
f 6
 
3.5%
Other values (16) 42
24.6%
Distinct24
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size136.0 KiB
Minimum2022-01-01 00:00:00
Maximum2023-12-01 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-04-14T23:29:40.295635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:29:40.396862image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

Inspection Year
Categorical

High correlation 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.0 MiB
FY2023
9706 
FY2022
5911 
FY2024
1774 

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters104346
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFY2023
2nd rowFY2022
3rd rowFY2023
4th rowFY2023
5th rowFY2022

Common Values

ValueCountFrequency (%)
FY2023 9706
55.8%
FY2022 5911
34.0%
FY2024 1774
 
10.2%

Length

2025-04-14T23:29:40.504203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:29:40.582740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
fy2023 9706
55.8%
fy2022 5911
34.0%
fy2024 1774
 
10.2%

Most occurring characters

ValueCountFrequency (%)
2 40693
39.0%
F 17391
16.7%
Y 17391
16.7%
0 17391
16.7%
3 9706
 
9.3%
4 1774
 
1.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104346
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 40693
39.0%
F 17391
16.7%
Y 17391
16.7%
0 17391
16.7%
3 9706
 
9.3%
4 1774
 
1.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104346
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 40693
39.0%
F 17391
16.7%
Y 17391
16.7%
0 17391
16.7%
3 9706
 
9.3%
4 1774
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104346
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 40693
39.0%
F 17391
16.7%
Y 17391
16.7%
0 17391
16.7%
3 9706
 
9.3%
4 1774
 
1.7%
Distinct13390
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Memory size1.5 MiB
2025-04-14T23:29:40.908009image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length73
Median length63
Mean length35.869473
Min length10

Characters and Unicode

Total characters623806
Distinct characters47
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10906 ?
Unique (%)62.7%

Sample

1st row4800 ROSS AVE (32.80545, -96.77601)
2nd row2500 VICTORY AVE PLTM #5015
3rd row3100 GRAND AVE
4th row10677 E NORTHWEST HWY #300 (32.86516, -96.70169)
5th row2747 FORT WORTH AVE (32.757716, -96.865794)
ValueCountFrequency (%)
rd 4344
 
4.7%
ave 2987
 
3.2%
st 2638
 
2.8%
w 1891
 
2.0%
ln 1813
 
1.9%
blvd 1715
 
1.8%
n 1653
 
1.8%
s 1558
 
1.7%
dr 1226
 
1.3%
e 846
 
0.9%
Other values (19443) 72497
77.8%
2025-04-14T23:29:41.408225image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63320
 
10.2%
2 33787
 
5.4%
9 32598
 
5.2%
3 32337
 
5.2%
1 30376
 
4.9%
6 29859
 
4.8%
0 29554
 
4.7%
8 27616
 
4.4%
7 25226
 
4.0%
. 24974
 
4.0%
Other values (37) 294159
47.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 623806
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
63320
 
10.2%
2 33787
 
5.4%
9 32598
 
5.2%
3 32337
 
5.2%
1 30376
 
4.9%
6 29859
 
4.8%
0 29554
 
4.7%
8 27616
 
4.4%
7 25226
 
4.0%
. 24974
 
4.0%
Other values (37) 294159
47.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 623806
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
63320
 
10.2%
2 33787
 
5.4%
9 32598
 
5.2%
3 32337
 
5.2%
1 30376
 
4.9%
6 29859
 
4.8%
0 29554
 
4.7%
8 27616
 
4.4%
7 25226
 
4.0%
. 24974
 
4.0%
Other values (37) 294159
47.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 623806
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
63320
 
10.2%
2 33787
 
5.4%
9 32598
 
5.2%
3 32337
 
5.2%
1 30376
 
4.9%
6 29859
 
4.8%
0 29554
 
4.7%
8 27616
 
4.4%
7 25226
 
4.0%
. 24974
 
4.0%
Other values (37) 294159
47.2%

Interactions

2025-04-14T23:28:22.678334image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:28:22.266995image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:28:22.797129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:28:22.372534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-04-14T23:29:41.548636image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Inspection ScoreInspection TypeInspection YearStreet DirectionStreet NumberStreet TypeViolation Points - 1Violation Points - 10Violation Points - 11Violation Points - 12Violation Points - 13Violation Points - 14Violation Points - 15Violation Points - 16Violation Points - 17Violation Points - 18Violation Points - 19Violation Points - 2Violation Points - 20Violation Points - 21Violation Points - 22Violation Points - 3Violation Points - 4Violation Points - 5Violation Points - 6Violation Points - 7Violation Points - 8Violation Points - 9
Inspection Score1.0000.0820.0390.0570.0090.0500.0950.0380.0710.0950.0220.0860.0000.0000.0960.0890.0000.1540.0000.0000.0000.1880.2470.1590.1590.1570.1370.071
Inspection Type0.0821.0000.0170.0110.0200.0160.0100.0440.0570.0000.0000.0190.0000.0000.3340.0001.0000.0141.0001.0001.0000.0000.0080.0030.0160.0340.0370.035
Inspection Year0.0390.0171.0000.0580.0260.0550.0180.0360.0560.0740.1220.0000.0650.0990.0000.0000.0000.0190.0000.0001.0000.0420.0610.0530.0770.0480.0550.071
Street Direction0.0570.0110.0581.0000.2560.4390.0580.0000.0000.0000.0000.1430.0000.0000.0000.6341.0000.051NaNNaNNaN0.0420.0000.0480.0200.0220.0000.013
Street Number0.0090.0200.0260.2561.0000.2530.0570.0010.0440.0000.0000.0000.0770.2240.1590.0000.3690.0470.1920.4410.0000.0430.0390.0160.0310.0190.0280.033
Street Type0.0500.0160.0550.4390.2531.0000.0710.0470.0680.0810.0890.1190.0000.0000.1390.3590.0000.0380.0000.3331.0000.0460.0710.0580.0640.0540.0390.027
Violation Points - 10.0950.0100.0180.0580.0570.0711.0000.1800.1800.1760.2270.2190.2340.2670.2210.3530.1570.2140.8511.0001.0000.1050.1120.1250.1390.1680.1680.191
Violation Points - 100.0380.0440.0360.0000.0010.0470.1801.0000.1450.0780.0820.0000.0000.0950.1050.1240.2120.1810.3701.0001.0000.1500.1470.1490.1080.0570.0880.126
Violation Points - 110.0710.0570.0560.0000.0440.0680.1800.1451.0000.1360.1600.1840.0000.1340.0000.0000.2110.1680.4070.0000.0000.1380.1420.1460.0990.0470.0530.121
Violation Points - 120.0950.0000.0740.0000.0000.0810.1760.0780.1361.0000.2530.2130.1130.0000.0000.0000.1800.1750.2990.0000.0000.1380.1020.1430.1520.1060.0690.050
Violation Points - 130.0220.0000.1220.0000.0000.0890.2270.0820.1600.2531.0000.1970.1460.1580.1290.0000.0000.1850.3440.4410.0000.2090.1980.1990.1390.1570.1140.082
Violation Points - 140.0860.0190.0000.1430.0000.1190.2190.0000.1840.2130.1971.0000.1220.0730.1000.1000.1760.1830.6700.4360.0000.2560.1090.2230.2000.1400.1560.160
Violation Points - 150.0000.0000.0650.0000.0770.0000.2340.0000.0000.1130.1460.1221.0000.2020.0000.0000.0720.1220.6400.5531.0000.2350.0210.1300.1760.1340.1520.079
Violation Points - 160.0000.0000.0990.0000.2240.0000.2670.0950.1340.0000.1580.0730.2021.0000.2090.0000.0000.1650.0000.8660.0000.2550.2020.0290.1860.1940.1880.000
Violation Points - 170.0960.3340.0000.0000.1590.1390.2210.1050.0000.0000.1290.1000.0000.2091.0000.3960.7100.2830.1360.0000.0000.0000.2920.0840.1170.1790.1560.203
Violation Points - 180.0890.0000.0000.6340.0000.3590.3530.1240.0000.0000.0000.1000.0000.0000.3961.0000.0000.3030.0000.8660.0000.1300.0000.0000.1820.0000.0000.281
Violation Points - 190.0001.0000.0001.0000.3690.0000.1570.2120.2110.1800.0000.1760.0720.0000.7100.0001.0000.1820.5001.0001.0000.1530.5400.0000.2850.0000.0000.134
Violation Points - 20.1540.0140.0190.0510.0470.0380.2140.1810.1680.1750.1850.1830.1220.1650.2830.3030.1821.0000.5580.6121.0000.1710.1490.1070.1260.1360.1490.188
Violation Points - 200.0001.0000.000NaN0.1920.0000.8510.3700.4070.2990.3440.6700.6400.0000.1360.0000.5000.5581.0000.6920.0000.3850.7200.0000.0000.0000.0000.120
Violation Points - 210.0001.0000.000NaN0.4410.3331.0001.0000.0000.0000.4410.4360.5530.8660.0000.8661.0000.6120.6921.0001.0000.8660.5300.4080.5530.0000.6920.000
Violation Points - 220.0001.0001.000NaN0.0001.0001.0001.0000.0000.0000.0000.0001.0000.0000.0000.0001.0001.0000.0001.0001.0000.0000.0000.0000.0001.0001.0000.000
Violation Points - 30.1880.0000.0420.0420.0430.0460.1050.1500.1380.1380.2090.2560.2350.2550.0000.1300.1530.1710.3850.8660.0001.0000.1980.1040.1200.1230.1400.134
Violation Points - 40.2470.0080.0610.0000.0390.0710.1120.1470.1420.1020.1980.1090.0210.2020.2920.0000.5400.1490.7200.5300.0000.1981.0000.1920.1050.1010.1420.169
Violation Points - 50.1590.0030.0530.0480.0160.0580.1250.1490.1460.1430.1990.2230.1300.0290.0840.0000.0000.1070.0000.4080.0000.1040.1921.0000.1540.0830.1040.111
Violation Points - 60.1590.0160.0770.0200.0310.0640.1390.1080.0990.1520.1390.2000.1760.1860.1170.1820.2850.1260.0000.5530.0000.1200.1050.1541.0000.1380.1030.082
Violation Points - 70.1570.0340.0480.0220.0190.0540.1680.0570.0470.1060.1570.1400.1340.1940.1790.0000.0000.1360.0000.0001.0000.1230.1010.0830.1381.0000.1630.105
Violation Points - 80.1370.0370.0550.0000.0280.0390.1680.0880.0530.0690.1140.1560.1520.1880.1560.0000.0000.1490.0000.6921.0000.1400.1420.1040.1030.1631.0000.133
Violation Points - 90.0710.0350.0710.0130.0330.0270.1910.1260.1210.0500.0820.1600.0790.0000.2030.2810.1340.1880.1200.0000.0000.1340.1690.1110.0820.1050.1331.000

Missing values

2025-04-14T23:28:23.320016image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-04-14T23:28:24.364757image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-04-14T23:28:28.373199image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Restaurant NameInspection TypeInspection DateInspection ScoreStreet NumberStreet NameStreet DirectionStreet TypeStreet UnitStreet AddressZip CodeViolation Description - 1Violation Points - 1Violation Detail - 1Violation Memo - 1Violation Description - 2Violation Points - 2Violation Detail - 2Violation Memo - 2Violation Description - 3Violation Points - 3Violation Detail - 3Violation Memo - 3Violation Description - 4Violation Points - 4Violation Detail - 4Violation Memo - 4Violation Description - 5Violation Points - 5Violation Detail - 5Violation Memo - 5Violation Description - 6Violation Points - 6Violation Detail - 6Violation Memo - 6Violation Description - 7Violation Points - 7Violation Detail - 7Violation Memo - 7Violation Description - 8Violation Points - 8Violation Detail - 8Violation Memo - 8Violation Description - 9Violation Points - 9Violation Detail - 9Violation Memo - 9Violation Description - 10Violation Points - 10Violation Detail - 10Violation Memo - 10Violation Description - 11Violation Points - 11Violation Detail - 11Violation Memo - 11Violation Description - 12Violation Points - 12Violation Detail - 12Violation Memo - 12Violation Description - 13Violation Points - 13Violation Detail - 13Violation Memo - 13Violation Description - 14Violation Points - 14Violation Detail - 14Violation Memo - 14Violation Description - 15Violation Points - 15Violation Detail - 15Violation Memo - 15Violation Description - 16Violation Points - 16Violation Detail - 16Violation Memo - 16Violation Description - 17Violation Points - 17Violation Detail - 17Violation Memo - 17Violation Description - 18Violation Points - 18Violation Detail - 18Violation Memo - 18Violation Description - 19Violation Points - 19Violation Detail - 19Violation Memo - 19Violation Description - 20Violation Points - 20Violation Detail - 20Violation Memo - 20Violation Description - 21Violation Points - 21Violation Detail - 21Violation Memo - 21Violation Description - 22Violation Points - 22Violation Detail - 22Violation Memo - 22Violation Description - 23Violation Points - 23Violation Detail - 23Violation Memo - 23Violation Description - 24Violation Points - 24Violation Detail - 24Violation Memo - 24Violation Description - 25Violation Points - 25Violation Detail - 25Violation Memo - 25Inspection MonthInspection YearLat Long Location
0FANNIN INNOVATION DESIGNRoutine2022-11-07964800ROSSNaNAVENaN4800 ROSS AVE75204*07 Food safe, good condition, unadulterated, and honestly presented3.0228.61 Food. Condition safe, unadulterated, and honestly presented. Food shall be safe, unadulterated, and, as specified in õ228.78(b) of this title, honestly presented.Remove dented cans*45 Premises shall be maintained in good repair1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.Replace lights under vent hoodNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNov 2022FY20234800 ROSS AVE\n(32.80545, -96.77601)
1WINE PRESS/DOG FISHHEADRoutine2022-04-201002500VICTORYNaNAVE#50152500 VICTORY AVE PLTM #501575201NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2022FY20222500 VICTORY AVE PLTM #5015
2BLUE'S PALACE IIRoutine2023-08-18973100GRANDNaNAVENaN3100 GRAND AVE75215*10 Clean Sight and Touch3.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.CLEAN INSIDE OF ICE MACHINENaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNAug 2023FY20233100 GRAND AVE
3JFE SUSHI K-511Routine2023-03-0210010677NORTHWESTEHWY#30010677 E NORTHWEST HWY #30075238NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMar 2023FY202310677 E NORTHWEST HWY #300\n(32.86516, -96.70169)
4MCDONALDSRoutine2022-07-14992747FORT WORTHNaNAVENaN2747 FORT WORTH AVE75211*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.Clean handles of machinery and spillsNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2022FY20222747 FORT WORTH AVE\n(32.757716, -96.865794)
5MCDONALD'SRoutine2022-01-191002551GUS THOMASSONNaNRDNaN2551 GUS THOMASSON RD75228NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2022FY20222551 GUS THOMASSON RD\n(32.834876, -96.671466)
6DL MACK'S PRESTONRoutine2023-07-129710720PRESTONNaNRD#110110720 PRESTON RD #110175230*24 Food Labeling- with common name of the food2.0228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (A) the common name of the food, or absent a common name, an adequately descriptive identity statement;label squeeze bottles*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.clean bottom of RIFNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2023FY202310720 PRESTON RD #1101
7THE POTTER'S HOUSE YOUTH ADDITIONRoutine2023-06-301006777KIESTWBLVDNaN6777 W KIEST BLVD75211NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJun 2023FY20236777 W KIEST BLVD
8PIZZARoutine2022-08-02100211AKARDSST#107211 S AKARD ST #10775202NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNAug 2022FY2022211 S AKARD ST #107\n(32.779302, -96.79937)
9MCDONALDS #4777Routine2023-07-12991000COMMERCENaNSTNaN1000 COMMERCE ST75202*45 Drying Mops-air dry1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (f) Drying mops. After use, mops shall be placed in a position that allows them to air-dry without soiling walls, equipment, or supplies.hang mops when not in useNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2023FY20231000 COMMERCE ST
Restaurant NameInspection TypeInspection DateInspection ScoreStreet NumberStreet NameStreet DirectionStreet TypeStreet UnitStreet AddressZip CodeViolation Description - 1Violation Points - 1Violation Detail - 1Violation Memo - 1Violation Description - 2Violation Points - 2Violation Detail - 2Violation Memo - 2Violation Description - 3Violation Points - 3Violation Detail - 3Violation Memo - 3Violation Description - 4Violation Points - 4Violation Detail - 4Violation Memo - 4Violation Description - 5Violation Points - 5Violation Detail - 5Violation Memo - 5Violation Description - 6Violation Points - 6Violation Detail - 6Violation Memo - 6Violation Description - 7Violation Points - 7Violation Detail - 7Violation Memo - 7Violation Description - 8Violation Points - 8Violation Detail - 8Violation Memo - 8Violation Description - 9Violation Points - 9Violation Detail - 9Violation Memo - 9Violation Description - 10Violation Points - 10Violation Detail - 10Violation Memo - 10Violation Description - 11Violation Points - 11Violation Detail - 11Violation Memo - 11Violation Description - 12Violation Points - 12Violation Detail - 12Violation Memo - 12Violation Description - 13Violation Points - 13Violation Detail - 13Violation Memo - 13Violation Description - 14Violation Points - 14Violation Detail - 14Violation Memo - 14Violation Description - 15Violation Points - 15Violation Detail - 15Violation Memo - 15Violation Description - 16Violation Points - 16Violation Detail - 16Violation Memo - 16Violation Description - 17Violation Points - 17Violation Detail - 17Violation Memo - 17Violation Description - 18Violation Points - 18Violation Detail - 18Violation Memo - 18Violation Description - 19Violation Points - 19Violation Detail - 19Violation Memo - 19Violation Description - 20Violation Points - 20Violation Detail - 20Violation Memo - 20Violation Description - 21Violation Points - 21Violation Detail - 21Violation Memo - 21Violation Description - 22Violation Points - 22Violation Detail - 22Violation Memo - 22Violation Description - 23Violation Points - 23Violation Detail - 23Violation Memo - 23Violation Description - 24Violation Points - 24Violation Detail - 24Violation Memo - 24Violation Description - 25Violation Points - 25Violation Detail - 25Violation Memo - 25Inspection MonthInspection YearLat Long Location
17381HALL'S HONEY-FRIED CHICKEN - MDRoutine2023-12-08891407MEDICAL DISTRICTNaNDRNaN1407 MEDICAL DISTRICT DR75207*02 Machine vending--Cold Hold (41øF/45øF or below) criteria3.0228.106 Equipment, Utensils, and Linens. Functionality of equipment. (k) Vending machines, automatic shutoff. (1) A machine vending TCS food shall have an automatic control that prevents the machine from vending food: (A) if there is a power failure, mechanical failure, or other condition that results in an internal machine temperature that cannot maintain food temperatures as specified under Subchapter D of this chapter; andRAW CHICKEN OBSERVED OUT AT ROOM TEMPERATURE AT 54F. COLD HOLDING TEMPERATURES MUST BE 41F/ BELOW*22 Accredited food handler certificate - 60 days2.0õ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.ALL FOOD HANDLERS MUST BE TRAINED IN FOOD SAFETY - 30 DAYS OF EMPLOYMENT*35 Eating food, chewing gum, drinking beverages, or using tobacco1.0228.42 Management and Personnel. Food Contamination Prevention (a) Eating, drinking, or using tobacco. (1) except as specified in paragraph (2) of this subsection, an employee shall eat, drink, or use any form of tobacco only in designated areas where the contamination of exposed food; clean equipment, utensils, and linens; unwrapped single-service and single-use articles; or other items needing protection cannot result.FOOD STAFF MUST STORE DRINKS AWAY FROM COOKING OR FOOD PREP AREA*37 Food protected from cross contamination by storing the food in packages, covered containers, or1.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (D) except as specified in õ228.75(e)(2)(B) of this title and paragraph (2) of this subsection, storing the food in packages, covered containers, or wrappings;FLY STRIP OBSERVED HANGING OVER OPEN CONTAINER OF FLOUR CLEAN FAN COVERS IN THE WALK IN COOLER TO REMOVE BUILD UP*39 Equipment and Utensils Storage1.0228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (4) Items that are kept in closed packages may be stored less than 15 cm (6 inches) above the floor on dollies, pallets, racks, and skids that are designed as specified in õ228.106(v) of this title.STORE ICE SCOOP IN CLEAN SANITIZER / CONTAINER*41 Food storage containers, identified with common name of food.1.0228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.LABEL BULK DRY FOOD INGREDIENTS ( POWDERED SUGAR)*42 Floors/walls/ceiling/nonfood dirty1.0228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.GREASE BUILD-UP SEEN ABOVE / UNDERNEATH WAFFLE MAKER AREA CLEAN CEILING TILES TO REMOVE BUILD UP OVER FOOD PREP AREA*45 Premises shall be maintained in good repair1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.WALLS OBSERVED NOT IN GOOD REPAIR - 3 COMP SINKNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNDec 2023FY20241407 MEDICAL DISTRICT DR
17382FIRESIDE CHICKEN AND TACOSRoutine2023-12-238418110MIDWAYNaNRD#10118110 MIDWAY RD #10175287*10 Clean Sight and Touch3.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.CLEAN & SANITIZE FOOD CONTACT SURFACES OF EQUIPMENT ( COOK LINE/ SIGHT & TOUCH*20 Grease Trap Tickets3.0Ch.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.MUST SERVICE GREASE BE SERVICE EVERY 90 DAYS*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.NaN*24 Food Labeling- with common name of the food2.0228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (A) the common name of the food, or absent a common name, an adequately descriptive identity statement;LABEL ALL FOOD SQUEEZE BOTTLES WITH COMMON NAME*28 Date marking commercially prepared RTE/ TCS food2.0228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; andMUST DATE MARK ALL READY TO EAT FOODS WHEN NOT IN USE ( RICE/ COOKED MEATS)- NOT TO EXCEED 7 DAYS*37 Food protected from cross contamination by storing the food in packages, covered containers, or1.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (D) except as specified in õ228.75(e)(2)(B) of this title and paragraph (2) of this subsection, storing the food in packages, covered containers, or wrappings;PROTECT FOOD BY COVERING & STORING OFF THE FLOOR*39 Cutting surfaces.1.0228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (b) Cutting surfaces. Surfaces such as cutting blocks and boards that are subject to scratching and scoring shall be resurfaced if they can no longer be effectively cleaned and sanitized, or discarded if they are not capable of being resurfaced.CUTTING BOARDS IN POOR CONDITION - REPLACE AS NEEDED*42 Floors/walls/ceiling/nonfood dirty1.0228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.VENT A HOOD FILTERS DIRTY - CLEAN TO REMOVE BUILD UP ENCRUSTED GREASE BUILD UP AT SIDE OF GRILL / LARGE OVEN DETAIL CLEAN THE FLOOR THROUGHOUT THE KITCHEN*46 Physical Facilities Premises1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (h) Cleaning of Plumbing Fixtures. Plumbing fixtures such as handwashing sinks, toilets, and urinals shall be cleaned as often as necessary to keep them clean.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNDec 2023FY202418110 MIDWAY RD #101\n(32.112679418, -85.530677201)
17383BOWLGAMESRoutine2023-12-1690139TURTLE CREEKNaNBLVDNaN139 TURTLE CREEK BLVD75207*22 Accredited food handler certificate - 60 days2.0õ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.ALL FOOD HANDLERS MUST BE TRAINED IN FOOD SAFETY / STATE APPROVED- 30 DAYS OF EMPLOYMENT*29 Sanitizing solutions, testing devices2.0228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (e) Sanitizing solutions, testing device. A test kit or other device that accurately measures the concentration in mg/L of sanitizing solutions shall be provided.PROVIDE CHEMICAL TEST STRIPS TO CHECK CONCENTRATION OF SANITIZER DISH MACHINE*37 Storing the food at least 15 cm (6 inches) above the floor1.0228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (C) at least 15 centimeters (6 inches) above the floor.GROUND BEEF CONTAINER - STORED ON THE FLOOR - WIC OBSERVED LARGE CONTAINER OF CORN STARCH*39 Equipment and Utensils Storage1.0228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (4) Items that are kept in closed packages may be stored less than 15 cm (6 inches) above the floor on dollies, pallets, racks, and skids that are designed as specified in õ228.106(v) of this title.OBSERVED IN USE CONTAINER/UTENSILS STORE INSIDE BULK FOOD INGREDIENTS*41 Food storage containers, identified with common name of food.1.0228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.LABEL BULK INGREDIENT BINS / FLOUR*42 Floors/walls/ceiling/nonfood dirty1.0228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.REMOVE BUILD-UP FROM VENT-A HOOD FILTERS CLEAN WALLS UNDERNEATH THE FOOD PREP SINK CLEAN INTERIOR OF FOOD PREP SINK*45 Premises shall be maintained in good repair1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.CLEAN & ORGANIZE STORAGE AREAS TO REDUCE CLUTTER REPLACE DAMAGED CEILING TILES ABOVE THE ICE MACHINE*47 Other Violations1.0NaNNO PEST CONTROL SERVICE REPORT SEEN -PROVIDE CURRENT REPORT -COS/ ORKIN OLD 5/22NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNDec 2023FY2024139 TURTLE CREEK BLVD
17384REGAL PLAZA CAFERoutine2023-12-2289320REGALNaNROW#120320 REGAL ROW #12075247*31 Individual, disposable towels2.0228.175 Physical Facilities. Handwashing Sinks. (c) Hand drying provision. Each handwashing lavatory or group of adjacent lavatories shall be provided with: (1) individual, disposable towels;no paper towels at hand sink*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.encrusted food build uo grill area*36 Cloths in-use for wiping between uses stored1.0228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; andstore wet wiping towels*24 Food Labeling- with common name of the food2.0228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (A) the common name of the food, or absent a common name, an adequately descriptive identity statement;label all food squeeze bottles with common name*34 Pest control-routine inspections for1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to minimize their presence within the physical facility and its contents, and on the contiguous land or property under the control of the permit holder by: (2) routinely inspecting the premises for evidence of pests;observed gnats in the building*39 In-use utensils, between-use storage. During pauses in food preparation or dispensing, food prep1.0228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (b) In-use utensils, between-use storage. During pauses in food preparation or dispensing, food preparation and dispensing utensils shall be stored: (2) in food that is not time/temperature controlled for safety (TCS) with their handles above the top of the food within containers or equipment that can be closed, such as bins of sugar, flour, or cinnamon;observed in service utensils inside of bulk ingredients*45 Premises shall be maintained in good repair1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.repair small leak at kitchen hand sink check freon inside true ric replace damaged ceiling tiles in kitchen area clean and organize storage area in dish area*35 Eating food, chewing gum, drinking beverages, or using tobacco1.0228.42 Management and Personnel. Food Contamination Prevention (a) Eating, drinking, or using tobacco. (1) except as specified in paragraph (2) of this subsection, an employee shall eat, drink, or use any form of tobacco only in designated areas where the contamination of exposed food; clean equipment, utensils, and linens; unwrapped single-service and single-use articles; or other items needing protection cannot result.must store employee drinks in a designated area*43 Light bulbs, light shields provided1.0228.174 Physical Facilities. Functionality. (a) Light bulbs, protective shielding. (1) Except as specified in paragraph (2) of this subsection, light bulbs shall be shielded, coated, or otherwise shatter-resistant in areas where there is exposed food; clean equipment, utensils, and linens; or unwrapped single-service and single-use articles.replace blown out light underneath vent a hoodNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNDec 2023FY2024320 REGAL ROW #120
17385TRINITY CAFE & GRILLRoutine2023-12-19842777STEMMONSNFRWY#1572777 N STEMMONS FRWY #15775207*03 Food products not maintained at 135øF or above3.0228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this sectionin paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (A) at 57 degrees Celsius (135 degrees Fahrenheit) or above, except that roasts cooked to a temperature and for a time specified in õ228.71(a)(2) of this title or reheated as specified in subsection õ228.73(e) of this title may be held at a temperature of 54 degrees Celsius (130 degrees Fahrenheit);HOT FOOD MUST BE MAINTAINED AT THE PROPER TEMPERATURE*06 Time as PHC: maximum of 4 hours limit food in unmarked containers or packages3.0228.75 Food. Time and temperature control. (i) Time as a public health control. (2) If time without temperature control is used as the public health control up to a maximum of 4 hours: (D) the food in unmarked containers or packages, or marked to exceed a 4-hour limit shall be discarded.MUST USE TIME AS A PUBLIC HEALTH CONTOL FOR FOODS STORED OUT OF TEMPERATURE - COS*20 Grease Trap Tickets3.0Ch.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.GREASE TRAP MUST BE SERVICED EVERY 90 DAYS*04 Is Poultry; stuffed fish/meat/pasta/poultry/ratites cooked to 165øF for 15 seconds3.0228.71 Food. Cooking. (a) Raw animal foods. (1) Except as specified in paragraphs (2) - (4) of this subsection, raw animal foods such as eggs, fish, meat, poultry, and foods containing these raw animal foods, shall be cooked to heat all parts of the food to a temperature and for a time that complies with one of the following methods based on the food that is being cooked: (C) 74 degrees Celsius (165 degrees Fahrenheit) or above for 15 seconds for poultry, wild game animals and exotic animals as specified in õ228.62(g)(1)(C), (2)(C) and (D) of this title, stuffed fish, stuffed meat, stuffed pasta, stuffed poultry, stuffed ratites, or stuffing containing fish, meat, poultry, or ratites.MUST COOK CHICKEN TO THE CORRECT TEMPERATURE 165F/ OBSERVED COOKED CHICKEN AT 132F*42 Floors/walls/ceiling/nonfood dirty1.0228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.ENCRUSTED GREASE BUILD UP AT THE SIDE OF THE GRILL CLEAN EXTERIOR ALL REACH IN COOLER / FREEZER DOORS CLEAN NTERIOR OF THE 3 COMP SINK*45 Premises shall be maintained in good repair1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.REPLACE MISSING CEILING TILES OVER OVEN*33 Remove soils from equipment & utensils2.0228.115 Equipment, Utensils, and Linens. Methods of cleaning. (d) Wet cleaning. (1) Equipment food-contact surfaces and utensils shall be effectively washed to remove or completely loosen soils by using the manual or mechanical means necessary such as the application of detergents containing wetting agents and emulsifiers; acid, alkaline, or abrasive cleaners; hot water; brushes; scouring pads; high-pressure sprays; or ultrasonic devices.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNDec 2023FY20242777 N STEMMONS FRWY #157
17386KATBI LLC DBA REGAL ROW CHEVRONRoutine2023-12-10921607REGAL ROWNaNNaNNaN1607 REGAL ROW75247*47 Other Violations1.0NaNprovide pest control record*31 Individual, disposable towels2.0228.175 Physical Facilities. Handwashing Sinks. (c) Hand drying provision. Each handwashing lavatory or group of adjacent lavatories shall be provided with: (1) individual, disposable towels;no paper towels at hand sink-drink station*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.clean and organize take out of use space clean wic/wif detail clean the drink station/spill seen*20 Grease Trap Tickets3.0Ch.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.service every 90 days*45 Premises shall be maintained in good repair1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.counter top observed not in good repairNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNDec 2023FY20241607 REGAL ROW
17387ALDEEZ SPORTS BAR & LOUNGERoutine2023-12-27813950ROSEMEADEEPKWY#1003950 E ROSEMEADE PKWY #10075287*10 Clean Sight and Touch3.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.CLEAN INTERIOR OF ALL BAR REACH-IN -COOLER TO REMOVE BUILD UP (SIGHT & TOUCH)*18 Toxic items storage adjacent to food/utensils3.0228.203 Poisonous or Toxic Materials. Storage, separation. Poisonous or toxic materials shall be stored so they cannot contaminate food, equipment, utensils, linens, and single-service and single-use articles by: (1) separating the poisonous or toxic materials by spacing or partitioning; andCHEMICAL SPRAY BOTTLE IN DESIGNATED AREA NOT AT WAIT STATION ( BY CLEAN UTENSILS)*20 Grease Trap Tickets3.0Ch.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.MUST SERVICE GREASE TRAP EVERY 90 DAYS / LATEST 7/23*27 Cool TCS foods using proper methods2.0228.75 Food. Time and temperature control. (e) Cooling methods. (1) Cooling shall be accomplished in accordance with the time and temperature criteria specified in subsection (d) of this section by using one or more of the following methods based on the type of food being cooled: (E) using containers that facilitate heat transfer;LARGE QUANTITIES OF COOKED FOOD WAS COOKING AT ROOM TEMPERATURE ( BACK STORAGE AREA )*28 Date marking commercially prepared RTE/ TCS food2.0228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; andALL RTE FOOD MUST BE DATE MARKED PROPERLY*31 No soap at handsink2.0228.175 Physical Facilities. Handwashing Sinks. (b) Handwashing cleanser, availability. Each handwashing lavatory or group of two adjacent lavatories shall be provided with a supply of hand cleaning liquid, powder, or bar soap.PROVIDE SOAP & PAPER TOWELS AT ALL HANDSINKS ( DISHAREA HAND SINK - NO SOAP*36 Cloths in-use for wiping between uses stored1.0228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; andSTORE WET WIPING TOWELS IN A SANITIZING SOLUTION - KITCHEN*39 Equipment and Utensils Storage1.0228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (4) Items that are kept in closed packages may be stored less than 15 cm (6 inches) above the floor on dollies, pallets, racks, and skids that are designed as specified in õ228.106(v) of this title.DO NOT STORE ICE SCOOP IN UNCLEAN SURFACE OBSERVE IN USE CONTAINER- BULK INGREDIENT BINS*42 Floors/walls/ceiling/nonfood dirty1.0228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.REMOVE BUILD-UP ON EXTERIOR OF BULK CONTAINERS - ONIONS CLEAN WALLS TO REMOVE FOOD BUILD UP / THROUGHOUT*45 Premises shall be maintained in good repair1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.REPLACE MISSING FLOOR TILES IN BACK COOKING AREANaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNDec 2023FY20243950 E ROSEMEADE PKWY #100
17388SUSHI BOXRoutine2023-12-09856757ARAPAHONaNRD#7096757 ARAPAHO RD #70975248*26 Allergen Labeling2.0228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (E) the name of the food source for each major food allergen contained in the food unless the food source is already part of the common or usual name of the respective ingredient;provide allergen disclosure on menu sesame, tree nuts, peanuts*10 Clean Sight and Touch3.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.internal oven components-black grease accumulation clean*19 No Hot Water / Water heater 50 gallon min.3.0SEC. 17-5.2. ADDITIONAL REQUIREMENTS. (b) Hot water. Hot water generation and distribution systems must be sufficient to meet the peak hot water demands throughout the food establishment. Such systems must be of not less than 50-gallon water tank capacity.water heater was not operate at begining of inspections*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.provide certified food manager on site at all times*28 Date marking > 24 hrs,on site,temp 41F2.0228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; andprovide date marking not to exceed 7 days on prepared food spicy mayo, cut veggies*47 Conditions of Permit-in use of food equipment1.0228.248 Compliance Conditions of retention, responsibilities of the permit holder. Upon acceptance of the permit issued by the regulatory authority, the permit holder in order to retain the permit shall: (11) Notify customers that a copy of the most recent establishment inspection report is available upon request by posting a sign or placard in a location in the food establishment that is conspicuous to customers or by another method acceptable to the regulatory authority.provide most recent health inspection*25 HACCP Plan Record to be maintained2.0228.244 Compliance Facility and Operating Plans. (d) Contents of a HACCP plan. For a food establishment that is required in subsection (a) of this section to have a HACCP plan, the plan and specifications shall indicate: (4) a statement of standard operating procedures for the plan under consideration including clearly identifying: (F) records to be maintained by the person in charge to demonstrate that the HACCP plan is properly operated and managed; andsushi pH was not taken- maintain pH logNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNDec 2023FY20246757 ARAPAHO RD #709
17389BENT TREE COUNTRY CLUBRoutine2023-12-12955201WESTGROVENaNDRNaN5201 WESTGROVE DR75248*30 Food Establishment Permit2.0SEC. 17-10.2. ADDITIONAL REQUIREMENTS. (c) Permits. (1) Requisite. A person shall not operate a food establishment inside the city without a permit issued by the director. A separate permit is required for: (A) each establishment that is under a separate ownership;FOOD PERMIT NOT POSTED*35 Eating food, chewing gum, drinking beverages, or using tobacco1.0228.42 Management and Personnel. Food Contamination Prevention (a) Eating, drinking, or using tobacco. (1) except as specified in paragraph (2) of this subsection, an employee shall eat, drink, or use any form of tobacco only in designated areas where the contamination of exposed food; clean equipment, utensils, and linens; unwrapped single-service and single-use articles; or other items needing protection cannot result.OBSERVED PERSONAL BELONGINGS (SWEATERS) HANGING ON WHERE CAKE MOLDS ; TRAYS ARE STORED*39 Equipment and Utensils Storage1.0228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (4) Items that are kept in closed packages may be stored less than 15 cm (6 inches) above the floor on dollies, pallets, racks, and skids that are designed as specified in õ228.106(v) of this title.OBSERVED TONGS SITTING IN LETTUCE FOR SERVING ( IN REACH IN COOLER)*41 Food storage containers, identified with common name of food.1.0228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.LABEL NOT OBSERVED IN BULK CONTAINERS IN BAKERYNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNDec 2023FY20245201 WESTGROVE DR\n(42.877546579, -73.25235396)
17390CORNER BAKERY CAFERoutine2023-12-21887615CAMPBELLNaNRDNaN7615 CAMPBELL RD75248*18 Toxic items storage adjacent to food/utensils3.0228.203 Poisonous or Toxic Materials. Storage, separation. Poisonous or toxic materials shall be stored so they cannot contaminate food, equipment, utensils, linens, and single-service and single-use articles by: (1) separating the poisonous or toxic materials by spacing or partitioning; andobserved chemical spray sitting next to open top cooler*02 Cold Hold (41øF/45øF or below)3.0228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;strawberries and salsa on open top cooler read above 41 degrees f 50 degrees f*36 Wet wiping cloths shall be laundered daily.1.0228.120 Equipment, Utensils, and Linens. Laundering, Frequency, Specifications. (d) Wet wiping cloths shall be laundered daily.observed soiled wiping cloths on counter*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.no cfm*32 Food-contact surfaces. smooth, non-absorbent and easily cleanable2.0228.223 REQUIREMENTS APPLICABLE TO CERTAIN ESTABLISHMENTS Bed and Breakfast (j) Food-contact surfaces. All food contact surfaces, counters, or work surfaces in the establishment shall be smooth, non-absorbent and easily cleanable.observed soiled gaskets*39 Store equipment & utensils - avoid contamination1.0228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (1) Except as specified in paragraph (4) of this subsection, cleaned equipment and utensils, laundered linens, and single-service and single-use articles shall be stored: (B) where they are not exposed to splash, dust, or other contamination; andobserved ice scoop sitting on top of ice machineNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNDec 2023FY20247615 CAMPBELL RD

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12MCDONALDSRoutine2023-03-30994223ILLINOISWAVENaN4223 W ILLINOIS AVE75211*39 Soda nozzles and ice bin clean as specified1.0228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (a) Equipment food-contact surfaces and utensils. (5) Except when dry cleaning methods are used as specified in õ228.115(a) of this title, surfaces of utensils and equipment contacting food that is not time/temperature control for safety shall be cleaned: (D) in equipment such as ice bins and beverage dispensing nozzles and enclosed components of equipment such as ice makers, cooking oil storage tanks and distribution lines, beverage and syrup dispensing lines or tubes, coffee bean grinders, and water vending equipment: (i) at a frequency specified by the manufacturerOBSERVED RUST AROUND SCREW IN ICE MACHINE, COLLECTING CONDENSATION. USE MATERIAL THAT DOES NOT RUST OR IS MORE RESISTED TO RUSTING, CLEAN AROUND SCREW.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMar 2023FY20234223 W ILLINOIS AVE\n(32.72093, -96.88957)3
0AMERICAN FOOD VENDING SERVICES @ TI DMOS (CALL 214-789-1656)Routine2023-04-2610013353TINaNBLVDNaN13353 TI BLVD75243NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2023FY202313353 TI BLVD2
1BAYLOR UNIVERSITY MED CTR PHYSICIANSRoutine2023-08-161003500GASTONNaNAVENaN3500 GASTON AVE75246NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNAug 2023FY20233500 GASTON AVE2
2BISHOP DUNNE HIGH STADIUMRoutine2023-11-15993900RUGGEDNaNDRNaN3900 RUGGED DR75224*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.Ceiling fan blades shall be clean to sightNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNov 2023FY20243900 RUGGED DR2
3CANTEEN @ AMAZON IAH1-LARGE REMOTE BREAKROOMRoutine2022-07-151009155SOUTHLINKNaNDRNaN9155 SOUTHLINK DR75241NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2022FY20229155 SOUTHLINK DR\n(32.63708, -96.7475)2
4CC YOUNG (LEVEL 5 CAFE)Routine2022-09-061004849LAWTHERWDRNaN4849 W LAWTHER DR75214NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNSep 2022FY20224849 W LAWTHER DR\n(32.85442, -96.730528)2
5CONCOURSE SHOPSRoutine2022-08-09100208AKARDSSTNaN208 S AKARD ST75202NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNAug 2022FY2022208 S AKARD ST\n(32.779605, -96.799243)2
6FAITH FAMILY ACADEMYRoutine2023-11-16100300KIESTWBLVDNaN300 W KIEST BLVD75224NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNov 2023FY2024300 W KIEST BLVD2
7HALAL GUYSRoutine2023-05-11985444LEMMONNaNAVENaN5444 LEMMON AVE75209*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMay 2023FY20235444 LEMMON AVE2
8LA SUPER ECONOMICA #6 BAKERYRoutine2023-08-19962402GUS THOMASSONNaNRDNaN2402 GUS THOMASSON RD75228-3007*31 No soap at handsink2.0228.175 Physical Facilities. Handwashing Sinks. (b) Handwashing cleanser, availability. Each handwashing lavatory or group of two adjacent lavatories shall be provided with a supply of hand cleaning liquid, powder, or bar soap.STOCK HAND SINK WITH SOAP*39 Equipment and Utensils Storage1.0228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (4) Items that are kept in closed packages may be stored less than 15 cm (6 inches) above the floor on dollies, pallets, racks, and skids that are designed as specified in õ228.106(v) of this title.DO NOT STORE UTENSILS (TONGS) BETWEEN DOORS AT PASTRY CASES*47 Other Violations1.0NaNLABEL 3 SINK WITH DIRECTIONS: WASH/ RINSE/ SANITIZENaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNAug 2023FY20232402 GUS THOMASSON RD\n(32.83398599, -96.674873986)2